{"id":"W2404942549","doi":"","title":"Chapter 12: Secondary prevention after acute myocardial infarction in four Canadian provinces, 1997–2000","year":2003,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Family medicine; Library science; Gerontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0008205781,0.0003427784,0.0002910452,0.002666698,0.00260101,0.0009226148,0.001363345,0.0005208543,0.00232811],"category_scores_gemma":[0.002433352,0.0003377601,0.0003597747,0.005871461,0.0005696811,0.0003312395,0.0009283146,0.0006296212,0.0002294502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04224684,"about_ca_system_score_gemma":0.08700432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970385,"about_ca_topic_score_gemma":0.9984685,"domain_scores_codex":[0.9990345,0.00005979427,0.00006616628,0.00007991474,0.0003721962,0.0003873843],"domain_scores_gemma":[0.9983672,0.00008406612,0.0002963519,0.00002568502,0.0008256827,0.0004009362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003342483,0.0001518023,0.8414972,0.00105314,0.0001287254,0.0003191228,0.01216554,0.0003644401,0.0005306436,0.001401327,0.07574482,0.06630907],"study_design_scores_gemma":[0.00001723473,0.00001374995,0.9834999,0.0001637184,0.00002760141,0.00005000989,0.003866614,0.00007983438,0.0000788644,0.00004296776,0.01214806,0.00001142815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8218336,0.01980104,0.0004647184,0.01196165,0.0003080472,0.0006851712,0.1074354,0.0001025727,0.03740793],"genre_scores_gemma":[0.9549254,0.01039211,0.001224633,0.0007161304,0.00006707905,0.0004211641,0.02009344,0.00001891182,0.01214122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04224684,"threshold_uncertainty_score":0.3065238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639698359885229,"score_gpt":0.2131711497396288,"score_spread":0.1967741661407765,"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."}}