{"id":"W4249412908","doi":"10.1515/iupac.78.0470","title":"Pesticide Trade Name","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Chemical nomenclature; Relation (database); Computer science; Ecology; Chemistry; Biology; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004677247,0.0004379741,0.0007388563,0.00003277246,0.0002076201,0.0000855591,0.0006537042,0.0004053566,0.01311733],"category_scores_gemma":[0.0004850262,0.0001331768,0.0003856334,0.0002702892,0.0001260402,0.00007549216,0.0001382073,0.0003771651,0.000008733437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001616143,"about_ca_system_score_gemma":0.0001087993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004938246,"about_ca_topic_score_gemma":0.005711342,"domain_scores_codex":[0.997154,0.0001381672,0.0005333532,0.0005969227,0.001025145,0.0005524376],"domain_scores_gemma":[0.9987129,0.000373373,0.0002797225,0.0002237033,0.0001458412,0.0002644748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004324683,0.0001206717,0.00005530828,0.00001574051,0.00007290012,0.00006805571,0.000001332363,8.776576e-7,0.0002397499,0.000007356054,0.9624423,0.03693245],"study_design_scores_gemma":[0.0001651636,0.0002314695,0.005405803,0.000169666,0.0001855825,0.00001617508,0.0000119996,0.000004087773,0.00001701325,0.0002471704,0.9931206,0.0004253262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001751801,0.0009694337,0.000006819324,0.004002517,0.0001897173,0.0001464276,0.9927991,0.00006272929,0.00007144475],"genre_scores_gemma":[0.0007597542,0.001968327,0.000008546469,0.0005331362,0.001628953,0.000008433131,0.9948382,0.000002277249,0.0002523613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03650712,"threshold_uncertainty_score":0.9877848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603424486431018,"score_gpt":0.3453771601268915,"score_spread":0.3293429152625814,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}