{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001282909,0.0002661152,0.0002566118,0.00001687945,0.00005503792,0.00001813019,0.0003658689,0.0002516051,0.03566203],"category_scores_gemma":[0.0002528007,0.0002067279,0.00009365012,0.0001066711,0.0001246381,0.00005750557,0.0002926207,0.0003442807,0.00001865016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005552345,"about_ca_system_score_gemma":0.00003947358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009249926,"about_ca_topic_score_gemma":0.000110881,"domain_scores_codex":[0.9984757,0.000008808884,0.0002239339,0.0003616973,0.000619012,0.0003108044],"domain_scores_gemma":[0.9992098,0.00004506547,0.00007672601,0.0004926614,0.00001324791,0.0001624879],"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":[0.00001785512,0.00005271342,0.00000978594,0.00003964165,0.00001411261,0.0000290362,0.000002318643,0.00002118916,0.00269819,2.414407e-7,0.9960858,0.00102917],"study_design_scores_gemma":[0.000237342,0.00002128697,0.00001651203,0.00009335489,0.00002688716,0.00001468651,0.000001932018,0.000006129311,0.003160269,0.00006267877,0.9960647,0.0002942428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009522078,0.00005551325,0.00007787019,0.0001299785,0.0001845542,0.00006131209,0.9978946,0.0000529936,0.0005909647],"genre_scores_gemma":[0.0002222685,0.0001217491,0.00003358702,0.0001402394,0.0003969955,0.000006615155,0.9984728,0.00002041653,0.0005853088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03564338,"threshold_uncertainty_score":0.9652195,"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."}}