{"id":"W4249928009","doi":"10.1515/iupac.79.0968","title":"Carcinogen","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.0009377571,0.00138184,0.001590549,0.00282718,0.000603458,0.001894217,0.001997774,0.001570043,0.1065506],"category_scores_gemma":[0.00707092,0.0004925355,0.002022989,0.004026655,0.00027045,0.001140275,0.001416378,0.001504591,0.07842533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262945,"about_ca_system_score_gemma":0.00257737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01385045,"about_ca_topic_score_gemma":0.03151424,"domain_scores_codex":[0.9987645,0.0002032162,0.0002294503,0.0004239087,0.000244137,0.0001347704],"domain_scores_gemma":[0.9976616,0.0007147798,0.0003948861,0.0005167639,0.0005450047,0.0001669771],"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":[0.0004655118,0.00004969877,0.005823531,0.005754801,0.0002564829,0.00009566414,0.00003933371,0.000568132,0.0003407098,0.001337728,0.9651069,0.02016143],"study_design_scores_gemma":[0.0002950542,0.00003170561,0.006737173,0.001062843,0.0001812742,0.0002368323,0.00004034845,0.0001813475,0.0002667988,0.00115818,0.9897849,0.00002356107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002275425,0.0004540766,0.0001158805,0.0000789232,0.00003550799,0.00003129448,0.996883,0.0001328197,0.002040963],"genre_scores_gemma":[0.0008759457,0.0004288603,0.0004218864,0.0002431831,0.00001612588,0.0001182082,0.9960459,0.00004633633,0.001803541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8934494,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545800003192491,"score_gpt":0.4513197631540275,"score_spread":0.4358617631221026,"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."}}