{"id":"W4243521576","doi":"10.1515/iupac.79.1489","title":"Insecticide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics","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":[0.0007199,0.001681361,0.001449211,0.003016124,0.0006068864,0.001802668,0.002002921,0.001366631,0.095614],"category_scores_gemma":[0.005063082,0.0004768046,0.001475627,0.004451542,0.0002424324,0.001287196,0.001412352,0.001313047,0.1002456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188145,"about_ca_system_score_gemma":0.002026052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01789234,"about_ca_topic_score_gemma":0.03885488,"domain_scores_codex":[0.9989886,0.0001398811,0.0001787324,0.0003376689,0.0002508739,0.0001041418],"domain_scores_gemma":[0.9982138,0.000453162,0.0003018161,0.0004056641,0.0004970888,0.0001286344],"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":[0.0002277192,0.00003336068,0.002730105,0.002530777,0.0001003168,0.00004435283,0.00002176681,0.000411993,0.0002467024,0.0006586974,0.9824552,0.01053898],"study_design_scores_gemma":[0.0002112843,0.00002717392,0.006338838,0.0006493512,0.0000829526,0.000111435,0.00004874537,0.0002865129,0.0003203839,0.0009896241,0.9909067,0.00002695608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000136231,0.0001504034,0.00005339355,0.00003573344,0.00001569989,0.00001207303,0.9984576,0.0001311304,0.001007752],"genre_scores_gemma":[0.0004174564,0.0001488546,0.000251455,0.00008130822,0.000006299347,0.00005761148,0.9980724,0.00003360656,0.0009310454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.095614,"threshold_uncertainty_score":0.3198607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006142526081818153,"score_gpt":0.3256814483610079,"score_spread":0.3195389222791898,"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."}}