{"id":"W4240664649","doi":"10.1515/iupac.78.0318","title":"Generic Pesticide","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; Pesticide; Relation (database); Chemical nomenclature; Computer science; Management science; Ecology; Engineering; 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":[0.0009229722,0.00165698,0.001496742,0.005613076,0.000701776,0.002245112,0.002364071,0.001592481,0.1021973],"category_scores_gemma":[0.007278486,0.0005321788,0.001321664,0.01190715,0.000403547,0.002481904,0.001582138,0.001845421,0.09701104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002063429,"about_ca_system_score_gemma":0.003104652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02520442,"about_ca_topic_score_gemma":0.03878872,"domain_scores_codex":[0.9986753,0.0001847329,0.0002907221,0.0004255819,0.0003078513,0.000115763],"domain_scores_gemma":[0.9971764,0.0008429445,0.0005263389,0.0004435317,0.0008370281,0.0001736976],"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":[0.00006269851,0.00001353696,0.0008411046,0.001846664,0.00003306687,0.00002591815,0.00002326678,0.0002220779,0.0001144975,0.0008986793,0.9912663,0.004652189],"study_design_scores_gemma":[0.00005657431,0.000007613875,0.001749599,0.0004998132,0.0000207693,0.00004040829,0.00003808383,0.00007622591,0.00008976956,0.0007482735,0.9966596,0.00001311701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005380069,0.0001518108,0.00005014499,0.00005126936,0.00001521714,0.0000103629,0.9987075,0.00006553275,0.0008943283],"genre_scores_gemma":[0.0002769464,0.0002558542,0.0002493981,0.0001064846,0.000007354494,0.00007859163,0.9981354,0.0000382059,0.0008517226],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1021973,"threshold_uncertainty_score":0.3418839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139913332211257,"score_gpt":0.3427230386284137,"score_spread":0.328731705407288,"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."}}