{"id":"W4249420514","doi":"10.1515/iupac.78.0242","title":"Detoxification","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Pesticide; Relation (database); Management science; Ecology; Chemistry; Engineering; 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":[0.001201787,0.001624263,0.001290916,0.003514196,0.0008998227,0.002698045,0.002555988,0.001638061,0.1942194],"category_scores_gemma":[0.008940514,0.0005068316,0.001486547,0.006356191,0.0003474317,0.002279934,0.001878264,0.001535943,0.1676813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810354,"about_ca_system_score_gemma":0.002931799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01796207,"about_ca_topic_score_gemma":0.03862195,"domain_scores_codex":[0.9983133,0.0002973451,0.0002948354,0.0005697558,0.0003610862,0.0001637453],"domain_scores_gemma":[0.9965664,0.0009661667,0.0004883333,0.0007230553,0.001033472,0.0002225559],"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":[0.00008309195,0.00001507576,0.001029831,0.001261913,0.00003050236,0.00002389908,0.00002396104,0.0001370977,0.0001017197,0.0009526798,0.9897405,0.00659976],"study_design_scores_gemma":[0.00007731133,0.000009975652,0.002078396,0.0005174096,0.00002408487,0.00005011935,0.00004819406,0.00009769453,0.0001257343,0.001184663,0.9957713,0.00001513381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008983185,0.0001614579,0.00009392354,0.0001010176,0.00002473754,0.00001703958,0.9974921,0.0001877372,0.001832221],"genre_scores_gemma":[0.0003786135,0.0001808184,0.0003352523,0.0001776867,0.000009635479,0.00009297389,0.9971107,0.00007138209,0.001642939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1942194,"threshold_uncertainty_score":0.6497284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258173064644518,"score_gpt":0.3578304121501334,"score_spread":0.3452486815036883,"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."}}