{"id":"W2059938548","doi":"10.1503/cmaj.109-4978","title":"10 health stories that mattered: Jan. 10–16","year":2015,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Empathy and Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data science; Computer science; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.005076053,0.0004177303,0.0004486657,0.00111248,0.01273384,0.01074405,0.0008703724,0.009204515,0.03567123],"category_scores_gemma":[0.01975656,0.0003708509,0.0005506749,0.0008757781,0.005661428,0.00432213,0.004000576,0.01133878,0.006589632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01736948,"about_ca_system_score_gemma":0.0120263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1414668,"about_ca_topic_score_gemma":0.3658829,"domain_scores_codex":[0.996648,0.0008381526,0.0001490603,0.0002243125,0.001104412,0.001035973],"domain_scores_gemma":[0.9944028,0.001028397,0.0002405822,0.0001636514,0.002064863,0.002099626],"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":[0.00009081289,0.00002021909,0.001522998,0.00009591864,0.00001047251,0.0005603504,0.006778387,0.00001589477,0.0001422828,0.01279304,0.9647092,0.01326039],"study_design_scores_gemma":[0.000009469734,0.00001487222,0.002912927,0.0003945868,0.000006850632,0.0002565352,0.009140542,0.00001440135,0.0001472607,0.001277663,0.9857976,0.00002737019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.01191954,0.02145655,0.0002394642,0.7226731,0.1013054,0.00008057126,0.001177958,0.0001214568,0.1410261],"genre_scores_gemma":[0.2031918,0.01839727,0.0007829842,0.3454838,0.03019576,0.0001418804,0.001382493,0.0003747587,0.4000492],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1414668,"threshold_uncertainty_score":0.2812867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03394906420725684,"score_gpt":0.3109917978649319,"score_spread":0.2770427336576751,"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."}}