{"id":"W4239618429","doi":"10.1503/cmaj.150272","title":"Highlights","year":2015,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000857325,0.0007318601,0.0004485135,0.001259355,0.001292374,0.00291953,0.001389913,0.002950833,0.1475962],"category_scores_gemma":[0.004762838,0.0002280318,0.0007247971,0.0007338463,0.0005816366,0.001835836,0.001526807,0.003150041,0.06126745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002001895,"about_ca_system_score_gemma":0.003652985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004337498,"about_ca_topic_score_gemma":0.004389701,"domain_scores_codex":[0.9989629,0.0001497306,0.00008954746,0.0001909765,0.0003872073,0.0002195854],"domain_scores_gemma":[0.9976786,0.0002896674,0.0001946278,0.0001374803,0.00094613,0.0007536566],"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":[0.00009790793,0.00007132715,0.003852982,0.0004435708,0.00002763114,0.0137782,0.0001805217,0.0001483828,0.0007607214,0.008416067,0.7529463,0.2192764],"study_design_scores_gemma":[0.00001710396,0.00002543593,0.001189515,0.0006043343,0.00001597133,0.02942353,0.0002613559,0.00008035063,0.0004645441,0.002969097,0.9649334,0.00001531475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01134635,0.05519427,0.009992877,0.2602185,0.05070703,0.0004901247,0.00403929,0.001251841,0.6067598],"genre_scores_gemma":[0.1293888,0.09226947,0.01089035,0.1651753,0.09445169,0.0004266078,0.008897532,0.0009356225,0.4975646],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8524038,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05336380547542145,"score_gpt":0.3738484715931386,"score_spread":0.3204846661177171,"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."}}