{"id":"W4240452002","doi":"10.1515/iupac.79.1066","title":"Contact Poison","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Forensic toxicology; Clinical toxicology; Computer science; Hazard; Toxicology; Chemistry; Biology; Philosophy; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009605057,0.001474432,0.001427259,0.003526681,0.0006832278,0.00312001,0.001925706,0.001737049,0.3505965],"category_scores_gemma":[0.01072077,0.0005213922,0.00107745,0.005551283,0.0002836007,0.002593069,0.002071533,0.001489954,0.3773628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319742,"about_ca_system_score_gemma":0.002068793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008731498,"about_ca_topic_score_gemma":0.01738103,"domain_scores_codex":[0.9987646,0.0001970908,0.0001865057,0.0004841187,0.0002349631,0.0001328641],"domain_scores_gemma":[0.9963141,0.001128562,0.0003483027,0.0009525675,0.0009126409,0.0003438183],"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":[0.00006296871,0.000008969897,0.0006683016,0.0007208862,0.00001765921,0.00001306096,0.00001219906,0.00007024326,0.00004513508,0.0004112448,0.9927452,0.005224065],"study_design_scores_gemma":[0.0001011753,0.000008435167,0.001491869,0.000306766,0.00001473828,0.00003125219,0.00003397401,0.00009430804,0.000101826,0.000994603,0.9968091,0.0000120294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006282737,0.0001012115,0.00006574082,0.00009779802,0.00003127658,0.00001709079,0.9965345,0.0003803445,0.002709286],"genre_scores_gemma":[0.0004251436,0.0001693643,0.0002865795,0.0002116965,0.00001827689,0.00009654976,0.99573,0.0001433952,0.002919035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3505965,"threshold_uncertainty_score":0.9262953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294624927922933,"score_gpt":0.3888123022226114,"score_spread":0.375866052943382,"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."}}