{"id":"W4233608738","doi":"10.1515/iupac.87.0158","title":"Contracture","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Poisoning and overdose treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; 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":[],"consensus_categories":[],"category_scores_codex":[0.001638431,0.001306739,0.001250056,0.004244782,0.0009156984,0.003339122,0.002424974,0.001906836,0.2147065],"category_scores_gemma":[0.01725163,0.0006213857,0.001514046,0.006492955,0.0004825525,0.002796454,0.002221622,0.001802926,0.2353039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583454,"about_ca_system_score_gemma":0.00313058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01507805,"about_ca_topic_score_gemma":0.02839468,"domain_scores_codex":[0.9976834,0.0003987005,0.0005409956,0.0006471048,0.0004899668,0.0002396968],"domain_scores_gemma":[0.9924321,0.002283946,0.0009498152,0.001850649,0.001954006,0.0005294931],"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":[0.00008813916,0.00001452075,0.001100977,0.0006988708,0.00001849419,0.00002007449,0.00001906241,0.00009649077,0.00004931811,0.0006683159,0.9921935,0.00503228],"study_design_scores_gemma":[0.0001058997,0.00001290032,0.002615093,0.0004500964,0.00001484253,0.00007708875,0.00005611493,0.0001399603,0.0001301004,0.001109176,0.9952717,0.00001701235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001281043,0.000130125,0.000114969,0.0001272531,0.00005065358,0.00003164266,0.9958634,0.0004209406,0.003132958],"genre_scores_gemma":[0.0005040339,0.0001466001,0.0004169138,0.0002279718,0.00002167266,0.0001178935,0.9958583,0.0001448756,0.002561767],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2147065,"threshold_uncertainty_score":0.7182649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271286778868132,"score_gpt":0.4234507677487314,"score_spread":0.4107378999600501,"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."}}