{"id":"W2001415168","doi":"10.1503/cmaj.101397","title":"Informative and compelling online history of medicare","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Medical Research and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Narrative; Health care; Computer science; Data science; World Wide Web; Medicine; Political science; Art; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001892223,0.0004628215,0.0002335352,0.002492215,0.01197281,0.009233327,0.0006936844,0.00267862,0.02829599],"category_scores_gemma":[0.01167765,0.0002854322,0.0001538456,0.002995781,0.005197096,0.005467143,0.002601365,0.005561849,0.004063894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02991418,"about_ca_system_score_gemma":0.03047869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.661517,"about_ca_topic_score_gemma":0.8770862,"domain_scores_codex":[0.997931,0.0003797448,0.00003678658,0.0000709044,0.001191693,0.0003899774],"domain_scores_gemma":[0.9937744,0.001709197,0.0003046973,0.0001803105,0.002177414,0.001853896],"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":[0.000009629117,0.000003998265,0.0002311735,0.00002522601,0.000001160729,0.00007875446,0.002096737,0.00002575463,0.00004135604,0.01227059,0.9760242,0.009191433],"study_design_scores_gemma":[0.000001154183,0.000001566372,0.0006806541,0.00008674996,0.000001266131,0.00005466385,0.001624653,0.00002188683,0.00003716265,0.0008459212,0.9966367,0.000007487802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007575218,0.02101734,0.001038132,0.5244867,0.02106037,0.00005123129,0.00454077,0.0003839736,0.4198463],"genre_scores_gemma":[0.2762754,0.03201179,0.002446087,0.1852189,0.02433492,0.00008629361,0.002887406,0.0007627632,0.4759764],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.661517,"threshold_uncertainty_score":0.6809527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207649064944507,"score_gpt":0.4119336828531542,"score_spread":0.2911687763587035,"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."}}