{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007094476,0.001519202,0.001446123,0.006829302,0.0007766422,0.002516371,0.001675197,0.001359785,0.1184729],"category_scores_gemma":[0.006059382,0.0005243539,0.001083973,0.01360447,0.0003932469,0.00262596,0.001569192,0.001836851,0.1189089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835315,"about_ca_system_score_gemma":0.002882708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02330371,"about_ca_topic_score_gemma":0.0351376,"domain_scores_codex":[0.9986669,0.0001395202,0.0002832721,0.0004244285,0.0003627915,0.0001232678],"domain_scores_gemma":[0.9969506,0.0008003692,0.0005854395,0.0005118657,0.0009791144,0.0001724999],"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":[0.00005318021,0.00001149782,0.001151842,0.001458262,0.00002623193,0.00003661368,0.00002757785,0.0001975138,0.0001433977,0.001016185,0.9898508,0.006027004],"study_design_scores_gemma":[0.00002959378,0.000005114827,0.001921863,0.0003059345,0.00001213876,0.00004423047,0.00003386953,0.0000573313,0.00008666152,0.000542607,0.9969509,0.000009809249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007010591,0.0001373609,0.00005068133,0.00005574042,0.00002040377,0.000008205279,0.9980171,0.00007188116,0.00156851],"genre_scores_gemma":[0.0003996375,0.0003314895,0.0002850702,0.0001028603,0.00001092935,0.00005849983,0.9969833,0.00005316107,0.001775012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1184729,"threshold_uncertainty_score":0.3963313,"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."}}