{"id":"W1997557435","doi":"10.1503/cmaj.109-4915","title":"10 health stories that mattered: Sept. 27–Oct. 3","year":2014,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Historical Psychiatry and Medical Practices","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web; Optometry; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001585119,0.0003593978,0.0002632137,0.0005423643,0.009996478,0.005155388,0.0007907124,0.01427556,0.04642852],"category_scores_gemma":[0.00578961,0.0003226782,0.0004845464,0.0004608852,0.00227145,0.002240421,0.00230374,0.0115307,0.01007931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005937908,"about_ca_system_score_gemma":0.003501548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08667643,"about_ca_topic_score_gemma":0.2335692,"domain_scores_codex":[0.998794,0.0002034159,0.0000369859,0.0001023117,0.0003939197,0.0004694286],"domain_scores_gemma":[0.9986634,0.0003281787,0.00008207731,0.00004502783,0.0004442799,0.0004370018],"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":[0.00002889369,0.00001266101,0.000654104,0.00001656479,0.000003585124,0.0003828248,0.0006992686,0.000008761313,0.00004535612,0.003893087,0.9904271,0.003827693],"study_design_scores_gemma":[0.000008139601,0.0000135752,0.002566983,0.0001099427,0.00000435333,0.000172643,0.001902365,0.00001875578,0.00008578824,0.0005654473,0.9945369,0.00001503244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006018892,0.006302364,0.0001146593,0.7802729,0.04001585,0.00005635868,0.001137626,0.0001174601,0.1659638],"genre_scores_gemma":[0.04913089,0.003130819,0.0001123838,0.5111374,0.013016,0.00006498484,0.0004824234,0.0001014581,0.4228236],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08667643,"threshold_uncertainty_score":0.1723438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122680857625595,"score_gpt":0.3165514708746565,"score_spread":0.2953246622984005,"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."}}