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["XL Toolbox Settings"]
[null,"export_path","C:\\Users\\Thomas Oscar\\Documents\\My Documents\\2020\\2020r\\2020Z\\JFPP -02-21-0420 v2 r1 Fig 4.png"]

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["Validation Tool for Predictive Microbiology (Version 1.0)",null,null,null,"ValT"]
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["Spreadsheet","Description"]
[2,"Dependent Data Input"]
[3,"Decision Tree for Dependent Data"]
[4,"Independent Data for Interpolation"]
[5,"Decision Tree for Interpolation"]
[6,"Independent Data for Extrapolation"]
[7,"Decision Tree for Extrapolation"]
["Welcome to ValT (vault) a spreadsheet tool for validation of models that predict the growth (log number) of human bacterial pathogens in food as a function of two independent variables.  ValT was developed by the U. S. Department of Agriculture, Agricultural Research Service.  It is based on the test data and model performance criteria of the acceptable prediction zones (APZ) method.     "]
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[null,null,null,null,"",{"$f":"IF(E370=\"\",\"\",IF(E370<-2,0,IF(E370>1,0,VLOOKUP(E370,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E371=\"\",\"\",IF(E371<-2,0,IF(E371>1,0,VLOOKUP(E371,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E372=\"\",\"\",IF(E372<-2,0,IF(E372>1,0,VLOOKUP(E372,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E373=\"\",\"\",IF(E373<-2,0,IF(E373>1,0,VLOOKUP(E373,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E374=\"\",\"\",IF(E374<-2,0,IF(E374>1,0,VLOOKUP(E374,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E375=\"\",\"\",IF(E375<-2,0,IF(E375>1,0,VLOOKUP(E375,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E376=\"\",\"\",IF(E376<-2,0,IF(E376>1,0,VLOOKUP(E376,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E377=\"\",\"\",IF(E377<-2,0,IF(E377>1,0,VLOOKUP(E377,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E378=\"\",\"\",IF(E378<-2,0,IF(E378>1,0,VLOOKUP(E378,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E379=\"\",\"\",IF(E379<-2,0,IF(E379>1,0,VLOOKUP(E379,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E380=\"\",\"\",IF(E380<-2,0,IF(E380>1,0,VLOOKUP(E380,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E381=\"\",\"\",IF(E381<-2,0,IF(E381>1,0,VLOOKUP(E381,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E382=\"\",\"\",IF(E382<-2,0,IF(E382>1,0,VLOOKUP(E382,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E383=\"\",\"\",IF(E383<-2,0,IF(E383>1,0,VLOOKUP(E383,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E384=\"\",\"\",IF(E384<-2,0,IF(E384>1,0,VLOOKUP(E384,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E385=\"\",\"\",IF(E385<-2,0,IF(E385>1,0,VLOOKUP(E385,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E386=\"\",\"\",IF(E386<-2,0,IF(E386>1,0,VLOOKUP(E386,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,{"$f":"IF(C387=\"\",\"\",IF(C387*D387<0,-2.5,C387-D387))","v":""},{"$f":"IF(E387=\"\",\"\",IF(E387<-2,0,IF(E387>1,0,VLOOKUP(E387,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E388=\"\",\"\",IF(E388<-2,0,IF(E388>1,0,VLOOKUP(E388,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E389=\"\",\"\",IF(E389<-2,0,IF(E389>1,0,VLOOKUP(E389,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E390=\"\",\"\",IF(E390<-2,0,IF(E390>1,0,VLOOKUP(E390,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E391=\"\",\"\",IF(E391<-2,0,IF(E391>1,0,VLOOKUP(E391,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E392=\"\",\"\",IF(E392<-2,0,IF(E392>1,0,VLOOKUP(E392,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E393=\"\",\"\",IF(E393<-2,0,IF(E393>1,0,VLOOKUP(E393,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E394=\"\",\"\",IF(E394<-2,0,IF(E394>1,0,VLOOKUP(E394,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E395=\"\",\"\",IF(E395<-2,0,IF(E395>1,0,VLOOKUP(E395,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E396=\"\",\"\",IF(E396<-2,0,IF(E396>1,0,VLOOKUP(E396,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E397=\"\",\"\",IF(E397<-2,0,IF(E397>1,0,VLOOKUP(E397,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E398=\"\",\"\",IF(E398<-2,0,IF(E398>1,0,VLOOKUP(E398,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E399=\"\",\"\",IF(E399<-2,0,IF(E399>1,0,VLOOKUP(E399,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E400=\"\",\"\",IF(E400<-2,0,IF(E400>1,0,VLOOKUP(E400,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]
[null,null,null,null,"",{"$f":"IF(E401=\"\",\"\",IF(E401<-2,0,IF(E401>1,0,VLOOKUP(E401,'8'!$A$2:$B$1503,2,TRUE))))","v":""}]

{"sheet":"3","index":3,"n_rows":30,"n_cols":24,"rows_kept":30,"cut":false,"hidden":false,"merged":[[0,2,0,14],[1,2,1,14],[2,2,2,14],[3,2,3,14],[6,2,6,14],[4,2,4,14],[5,2,5,14],[5,19,5,24],[6,19,6,24],[7,19,7,24],[8,19,8,24],[8,2,8,14],[7,2,7,14],[0,19,0,24],[1,19,1,24],[2,19,2,24],[3,19,3,24],[4,19,4,24]]}
["Q","A","Decision Tree for Dependent Data",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Q","A","Decision Tree for Dependent Data"]
[1,"yes","Were the data used to develop the model?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,"yes","Were the data used to develop the model?"]
[2,"yes","Were the independent variables evenly spaced?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,2,"yes","Were the independent variables evenly spaced?"]
[3,"yes","Was there a minimum of four prediction cases per combination of independent variables?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,3,"yes","Was there a minimum of four prediction cases per combination of independent variables?"]
[4,"yes","Did all combinations of independent variables have the same number of prediction cases?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,4,"yes","Did all combinations of independent variables have the same number of prediction cases?"]
[5,"yes","Was the overall pAPZ ≥ 0.70?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,5,"yes","Was the overall pAPZ ≥ 0.70?"]
[6,"yes","Was pAPZ for all individual levels of independent variables ≥ 0.70?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,6,"yes","Was pAPZ for all individual levels of independent variables ≥ 0.70?"]
[7,"yes","Was a single pAPZ ≥ 0.70 for every three consecutive combinations of the independent variables?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,7,"yes","Was a single pAPZ ≥ 0.70 for every three consecutive combinations of the independent variables?"]
[8,{"$f":"IF(CONCATENATE(B2,B3,B4,B5,B6,B7,B8)=\"yesyesyesyesyesyesyes\",\"yes\",\"no\")","v":"yes"},"Was the model validated for dependent data?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,8,"yes","Was the model validated for dependent data?"]
["Average of APZ","Time",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"pAPZ","Time"]
["Temp",0,2,4,6,8,"Average",null,null,null,null,null,null,null,null,null,null,"Temp",0,2,4,6,8,"Average"]
[16,1,1,1,1,1,1,null,null,null,null,null,null,null,null,null,null,16,1,1,1,1,1,1]
[20,1,1,1,1,1,1,null,null,null,null,null,null,null,null,null,null,20,1,1,1,1,1,1]
[24,1,1,1,1,1,1,null,null,null,null,null,null,null,null,null,null,24,1,1,1,1,1,1]
[28,1,0.92600000000000016,0.98150000000000026,1,0.96750000000000025,0.9750000000000002,null,null,null,null,null,null,null,null,null,null,28,1,0.92600000000000016,0.98150000000000026,1,0.96750000000000025,0.9750000000000002]
[32,1,1,1,0.84800000000000031,1,0.96960000000000013,null,null,null,null,null,null,null,null,null,null,32,1,1,1,0.84800000000000031,1,0.96960000000000013]
[36,0.9700000000000002,0.99650000000000016,1,0.82700000000000007,1,0.9587,null,null,null,null,null,null,null,null,null,null,36,0.9700000000000002,0.99650000000000016,1,0.82700000000000007,1,0.9587]
[40,1,0.74149999999999994,0.93800000000000017,1,0.8570000000000001,0.9073,null,null,null,null,null,null,null,null,null,null,40,1,0.74149999999999994,0.93800000000000017,1,0.8570000000000001,0.9073]
["Average",0.99571428571428577,0.95200000000000007,0.98850000000000016,0.95357142857142863,0.97492857142857148,0.97294285714285711,null,null,null,null,null,null,null,null,null,null,"Average",0.99571428571428577,0.95200000000000007,0.98850000000000016,0.95357142857142863,0.97492857142857148,0.97294285714285711]
[]
["Instructions"]
["1.  Copy and paste values for independent variables (temperature and time) and dependent variables (observed and predicted values) into the input cells (A2:D401) in spreadsheet 2 (2!)."]
["2.  Update the pivot table (3!P1)"]
[null,"a.  Click on 3!P1 → Analyze → Refresh or (Alt + F5) → Filter for Rows → Select All → Deselect Blank → Filter for Columns → Select All → Deselect Blank."]
[null,"b.  Click Field List, Σ Values Pull Down Menu → Value Field Settings → Select Count."]
["3.  Answer (A) questions (Q) 1 to 4 for test data criteria in the Decision Tree by selecting \"yes\" or \"no\" from the pull down menu."]
["4.  Change Σ Value from Count to Average"]
[null,"a.  Click Field List, Σ Values Pull Down Menu → Value Field Settings → Select Average."]
[null,"b.  Click on any pAPZ value in the pivot table and then click on APZ Macro button to highlight pAPZ that are < 0.7. "]
["5.  Answer (A) questions (Q) 5 to7 for model performance criteria in the Decision Tree by selecting \"yes\" or \"no\" from the pull down menu."]

{"sheet":"4","index":4,"n_rows":401,"n_cols":6,"rows_kept":401,"cut":false,"hidden":false,"merged":[]}
["Temp","Time","Observed","Predicted","Residual","APZ"]
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[18,1,1.02,0.84075658101256812,{"$f":"IF(C3=\"\",\"\",IF(C3*D3<0,-2.5,C3-D3))","v":0.1792434189874319},{"$f":"IF(E3=\"\",\"\",IF(E3<-2,0,IF(E3>1,0,VLOOKUP(E3,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[18,1,1.17,0.84075658101256812,0.32924341898743181,{"$f":"IF(E4=\"\",\"\",IF(E4<-2,0,IF(E4>1,0,VLOOKUP(E4,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[18,3,0.74,0.85422263435461643,-0.11422263435461644,{"$f":"IF(E5=\"\",\"\",IF(E5<-2,0,IF(E5>1,0,VLOOKUP(E5,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[18,3,1.17,0.85422263435461643,0.3157773656453835,{"$f":"IF(E6=\"\",\"\",IF(E6<-2,0,IF(E6>1,0,VLOOKUP(E6,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[18,3,1.3,0.85422263435461643,0.44577736564538362,{"$f":"IF(E7=\"\",\"\",IF(E7<-2,0,IF(E7>1,0,VLOOKUP(E7,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[18,5,0.18,0.89644828986988156,-0.71644828986988163,{"$f":"IF(E8=\"\",\"\",IF(E8<-2,0,IF(E8>1,0,VLOOKUP(E8,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[18,5,0.74,0.89644828986988156,-0.15644828986988157,{"$f":"IF(E9=\"\",\"\",IF(E9<-2,0,IF(E9>1,0,VLOOKUP(E9,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[18,5,0.74,0.89644828986988156,-0.15644828986988157,{"$f":"IF(E10=\"\",\"\",IF(E10<-2,0,IF(E10>1,0,VLOOKUP(E10,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[18,7,1.02,1.0257476355392199,-5.7476355392198641E-3,{"$f":"IF(E11=\"\",\"\",IF(E11<-2,0,IF(E11>1,0,VLOOKUP(E11,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[18,7,1.33,1.0257476355392199,0.30425236446078019,{"$f":"IF(E12=\"\",\"\",IF(E12<-2,0,IF(E12>1,0,VLOOKUP(E12,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[18,7,1.53,1.0257476355392199,0.50425236446078014,{"$f":"IF(E13=\"\",\"\",IF(E13<-2,0,IF(E13>1,0,VLOOKUP(E13,'8'!$A$2:$B$1503,2,TRUE))))","v":0.99200000000000088}]
[22,1,0.74,0.84218106553215555,-0.10218106553215556,{"$f":"IF(E14=\"\",\"\",IF(E14<-2,0,IF(E14>1,0,VLOOKUP(E14,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[22,1,0.92,0.84218106553215555,7.7818934467844492E-2,{"$f":"IF(E15=\"\",\"\",IF(E15<-2,0,IF(E15>1,0,VLOOKUP(E15,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[22,1,1.27,0.84218106553215555,0.42781893446784447,{"$f":"IF(E16=\"\",\"\",IF(E16<-2,0,IF(E16>1,0,VLOOKUP(E16,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[22,3,0.92,0.86747847518073917,5.2521524819260867E-2,{"$f":"IF(E17=\"\",\"\",IF(E17<-2,0,IF(E17>1,0,VLOOKUP(E17,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[22,3,1.0900000000000001,0.86747847518073917,0.22252152481926091,{"$f":"IF(E18=\"\",\"\",IF(E18<-2,0,IF(E18>1,0,VLOOKUP(E18,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[22,3,1.27,0.86747847518073917,0.40252152481926085,{"$f":"IF(E19=\"\",\"\",IF(E19<-2,0,IF(E19>1,0,VLOOKUP(E19,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[22,5,0.52,1.0426578563875712,-0.52265785638757123,{"$f":"IF(E20=\"\",\"\",IF(E20<-2,0,IF(E20>1,0,VLOOKUP(E20,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[22,5,0.52,1.0426578563875712,-0.52265785638757123,{"$f":"IF(E21=\"\",\"\",IF(E21<-2,0,IF(E21>1,0,VLOOKUP(E21,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[22,5,1.63,1.0426578563875712,0.58734214361242865,{"$f":"IF(E22=\"\",\"\",IF(E22<-2,0,IF(E22>1,0,VLOOKUP(E22,'8'!$A$2:$B$1503,2,TRUE))))","v":0.82600000000000073}]
[22,7,0.91,1.6316188015492801,-0.72161880154928004,{"$f":"IF(E23=\"\",\"\",IF(E23<-2,0,IF(E23>1,0,VLOOKUP(E23,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[22,7,1.17,1.6316188015492801,-0.46161880154928014,{"$f":"IF(E24=\"\",\"\",IF(E24<-2,0,IF(E24>1,0,VLOOKUP(E24,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[22,7,1.72,1.6316188015492801,8.83811984507199E-2,{"$f":"IF(E25=\"\",\"\",IF(E25<-2,0,IF(E25>1,0,VLOOKUP(E25,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[26,1,0.74,0.84795473342996752,-0.10795473342996753,{"$f":"IF(E26=\"\",\"\",IF(E26<-2,0,IF(E26>1,0,VLOOKUP(E26,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
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[26,1,1.17,0.84795473342996752,0.32204526657003241,{"$f":"IF(E28=\"\",\"\",IF(E28<-2,0,IF(E28>1,0,VLOOKUP(E28,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[26,3,0.52,0.93546524621198568,-0.41546524621198566,{"$f":"IF(E29=\"\",\"\",IF(E29<-2,0,IF(E29>1,0,VLOOKUP(E29,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[26,3,0.7,0.93546524621198568,-0.23546524621198572,{"$f":"IF(E30=\"\",\"\",IF(E30<-2,0,IF(E30>1,0,VLOOKUP(E30,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[26,3,0.92,0.93546524621198568,-1.5465246211985639E-2,{"$f":"IF(E31=\"\",\"\",IF(E31<-2,0,IF(E31>1,0,VLOOKUP(E31,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[26,5,1.65,1.7511006360747621,-0.10110063607476216,{"$f":"IF(E32=\"\",\"\",IF(E32<-2,0,IF(E32>1,0,VLOOKUP(E32,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[26,5,1.72,1.7511006360747621,-3.11006360747621E-2,{"$f":"IF(E33=\"\",\"\",IF(E33<-2,0,IF(E33>1,0,VLOOKUP(E33,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[26,5,2.37,1.7511006360747621,0.61889936392523803,{"$f":"IF(E34=\"\",\"\",IF(E34<-2,0,IF(E34>1,0,VLOOKUP(E34,'8'!$A$2:$B$1503,2,TRUE))))","v":0.76400000000000068}]
[26,7,1.97,2.3861478260705566,-0.41614782607055667,{"$f":"IF(E35=\"\",\"\",IF(E35<-2,0,IF(E35>1,0,VLOOKUP(E35,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[26,7,1.97,2.3861478260705566,-0.41614782607055667,{"$f":"IF(E36=\"\",\"\",IF(E36<-2,0,IF(E36>1,0,VLOOKUP(E36,'8'!$A$2:$B$1503,2,TRUE))))","v":1}]
[26,7,2.89,2.3861478260705566,0.50385217392944348,{"$f":"IF(E37=\"\",\"\",IF(E37<-2,0,IF(E37>1,0,VLOOKUP(E37,'8'!$A$2:$B$1503,2,TRUE))))","v":0.99400000000000088}]
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{"sheet":"5","index":5,"n_rows":33,"n_cols":22,"rows_kept":33,"cut":false,"hidden":false,"merged":[[9,2,9,14],[10,2,10,14],[0,2,0,14],[2,2,2,14],[3,2,3,14],[1,2,1,14],[4,2,4,14],[5,2,5,14],[6,2,6,14],[7,2,7,14],[8,2,8,14],[0,18,0,26],[1,18,1,26],[2,18,2,26],[3,18,3,26],[4,18,4,25],[10,18,10,26],[5,18,5,26],[6,18,6,26],[7,18,7,26],[8,18,8,26],[9,18,9,26]]}
["Q","A","Decision Tree for Interpolation",null,null,null,null,null,null,null,null,null,null,null,null,null,"Q","A","Decision Tree for Interpolation"]
[1,{"$f":"'3'!B9","v":"yes"},"Was the model validated for dependent data?",null,null,null,null,null,null,null,null,null,null,null,null,null,1,"yes","Was the model validated for dependent data?"]
[2,"yes","Were the data independent?",null,null,null,null,null,null,null,null,null,null,null,null,null,2,"yes","Were the data independent?"]
[3,"yes","Were the data collected using the same methods as dependent data?",null,null,null,null,null,null,null,null,null,null,null,null,null,3,"yes","Were the data collected using the same methods as dependent data?"]
[4,"yes","Were the independent variables at values intermediate to those used in model development?",null,null,null,null,null,null,null,null,null,null,null,null,null,4,"yes","Were the independent variables at values intermediate to those used in model development?"]
[5,"yes","Was there a minimum of two prediction cases per combination of independent variables?",null,null,null,null,null,null,null,null,null,null,null,null,null,5,"yes","Was there a minimum of two prediction cases per combination of independent variables?"]
[6,"yes","Did all combinations of independent variables have the same number of prediction cases?",null,null,null,null,null,null,null,null,null,null,null,null,null,6,"yes","Did all combinations of independent variables have the same number of prediction cases?"]
[7,"yes","Was the overall pAPZ ≥ 0.70?",null,null,null,null,null,null,null,null,null,null,null,null,null,7,"yes","Was the overall pAPZ ≥ 0.70?"]
[8,"yes","Was pAPZ for all individual levels of independent variables ≥ 0.70?",null,null,null,null,null,null,null,null,null,null,null,null,null,8,"yes","Was pAPZ for all individual levels of independent variables ≥ 0.70?"]
[9,"yes","Was a single pAPZ ≥ 0.70 for every three consecutive combinations of the independent variables?",null,null,null,null,null,null,null,null,null,null,null,null,null,9,"yes","Was a single pAPZ ≥ 0.70 for every three consecutive combinations of the independent variables?"]
[10,{"$f":"IF(CONCATENATE(B2,B3,B4,B5,B6,B7,B8,B10)=\"yesyesyesyesyesyesyesyes\",\"yes\",\"no\")","v":"yes"},"Was the model validated for interpolation?",null,null,null,null,null,null,null,null,null,null,null,null,null,10,"yes","Was the model validated for interpolation?"]
["Average of APZ","Time",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"pAPZ","Time"]
["Temp",1,3,5,7,"Average",null,null,null,null,null,null,null,null,null,null,"Temp",1,3,5,7,"Average"]
[18,1,1,1,0.99733333333333363,0.99933333333333341,null,null,null,null,null,null,null,null,null,null,18,1,1,1,0.99733333333333363,0.99933333333333341]
[22,1,1,0.94200000000000017,1,0.98550000000000004,null,null,null,null,null,null,null,null,null,null,22,1,1,0.94200000000000017,1,0.98550000000000004]
[26,1,1,0.92133333333333356,0.99800000000000022,0.97983333333333356,null,null,null,null,null,null,null,null,null,null,26,1,1,0.92133333333333356,0.99800000000000022,0.97983333333333356]
[30,1,1,1,0.90666666666666684,0.97666666666666668,null,null,null,null,null,null,null,null,null,null,30,1,1,1,0.90666666666666684,0.97666666666666668]
[34,1,0.77000000000000013,0.84333333333333338,0.69366666666666676,0.8267500000000001,null,null,null,null,null,null,null,null,null,null,34,1,0.77000000000000013,0.84333333333333338,0.69366666666666676,0.8267500000000001]
[38,1,0.67400000000000004,0.66666666666666663,1,0.83516666666666672,null,null,null,null,null,null,null,null,null,null,38,1,0.67400000000000004,0.66666666666666663,1,0.83516666666666672]
["Average",1,0.90733333333333333,0.89555555555555577,0.9326111111111115,0.93387500000000001,null,null,null,null,null,null,null,null,null,null,"Average",1,0.90733333333333333,0.89555555555555577,0.9326111111111115,0.93387500000000001]
[]
[]
[]
["Instructions"]
["1.  Copy and paste values for independent variables (temperature and time) and dependent variables (observed and predicted values) into the input cells (A2:D401) in spreadsheet 4 (4!)."]
["2.  Update the pivot table (5!P1)."]
[null,"a.  Click on 5!P1 → Analyze → Refresh or (Alt + F5) → Filter for Rows → Select All → Deselect Blank → Filter for Columns → Select All → Deselect Blank."]
[null,"b.  Click Field List, Σ Values Pull Down Menu → Value Field Settings → Select Count."]
["3.  Answer (A) questions (Q) 2 to 6 for test data criteria in the Decision Tree by selecting \"yes\" or \"no\" from the pull down menu."]
["4.  Change Σ Value from Count to Average"]
[null,"a.  Click Field List, Σ Values Pull Down Menu → Value Field Settings → Select Average."]
[null,"b.  Click on any pAPZ value in the pivot table and then click on APZ Macro button to highlight pAPZ that are < 0.7. "]
["5.  Answer (A) questions (Q) 7 to 9 for model performance criteria in the Decision Tree by selecting \"yes\" or \"no\" from the pull down menu."]

{"sheet":"6","index":6,"n_rows":401,"n_cols":6,"rows_kept":401,"cut":false,"hidden":false,"merged":[]}
["Temp","Time","Observed","Predicted","Residual","APZ"]
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{"sheet":"7","index":7,"n_rows":40,"n_cols":3,"rows_kept":40,"cut":false,"hidden":false,"merged":[[0,2,0,14],[6,2,6,14],[1,2,1,14],[9,2,9,14],[7,2,7,14],[8,2,8,14],[10,2,10,14],[4,2,4,14],[3,2,3,14],[5,2,5,14],[2,2,2,14]]}
["Q","A","Decision Tree for Extrapolation (Romaine Lettuce)"]
[1,{"$f":"'5'!B11","v":"yes"},"Was the model validated for interpolation?"]
[2,"yes","Were data independent?"]
[3,"yes","Were data collected with the same methods as dependent data except for the new independent variable being evaluated?"]
[4,"yes","Were the independent variables at the same values as those used in model development?"]
[5,"yes","Was there a minimum of two prediction cases per combination of independent variables?"]
[6,"yes","Did all combinations of the independent variables have the same number of prediction cases?"]
[7,"yes","Was the overall pAPZ ≥ 0.70?"]
[8,"yes","Was pAPZ for all individual levels of independent variables ≥ 0.70?"]
[9,"yes","Was a single pAPZ ≥ 0.70 for every three consecutive combinations of the independent variables?"]
[10,{"$f":"IF(CONCATENATE(B2,B3,B4,B5,B6,B7,B8,B10)=\"yesyesyesyesyesyesyesyes\",\"yes\",\"no\")","v":"yes"},"Was the model validated for extrapolation?"]
["Average of APZ","Time"]
["Temp","(blank)","Total"]
["(blank)",{"$error":"#DIV/0!"},{"$error":"#DIV/0!"}]
["Total",{"$error":"#DIV/0!"},{"$error":"#DIV/0!"}]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
["Instructions"]
["1.  Copy and paste values for independent variables (temperature and time) and dependent variables (observed and predicted values) into the input cells (A2:D401) in spreadsheet 6 (6!)."]
["2.  Update the pivot table (7!P1)."]
[null,"a.  Click on 7!P1 → Analyze → Refresh or (Alt + F5) → Filter for Rows → Select All → Deselect Blank → Filter for Columns → Select All → Deselect Blank."]
[null,"b.  Click Field List, Σ Values Pull Down Menu → Value Field Settings → Select Count."]
["3.  Answer (A) questions (Q) 2 to 6 for test data criteria in the Decision Tree by selecting \"yes\" or \"no\" from the pull down menu."]
["4.  Change Σ Value from Count to Average"]
[null,"a.  Click Field List, Σ Values Pull Down Menu → Value Field Settings → Select Average."]
[null,"b.  Click on any pAPZ value in the pivot table and then click on APZ Macro button to highlight pAPZ that are < 0.7. "]
["5.  Answer (A) questions (Q) 7 to 9 for model performance criteria in the Decision Tree by selecting \"yes\" or \"no\" from the pull down menu."]

{"sheet":"8","index":8,"n_rows":1503,"n_cols":2,"rows_kept":1503,"cut":false,"hidden":false,"merged":[]}
["Residual","APZ"]
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