{"id":"W2151717542","doi":"10.1016/j.mayocp.2015.05.015","title":"Optimizing Value From Cardiac Rehabilitation","year":2015,"lang":"en","type":"article","venue":"Mayo Clinic Proceedings","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Total (Canada); University of Alberta; University of Calgary","funders":"","keywords":"Medicine; Rehabilitation; Referral; Acute coronary syndrome; Physical therapy; Quality-adjusted life year; Quality of life (healthcare); Emergency medicine; Intensive care medicine; Cost effectiveness; Myocardial infarction; Cardiology; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003667991,0.0006008347,0.0008909149,0.00147088,0.001328305,0.004994878,0.0009528197,0.001465069,0.01447174],"category_scores_gemma":[0.03529782,0.0002330021,0.0007853104,0.001016765,0.0007841722,0.00239744,0.00283726,0.002454601,0.001957946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003321036,"about_ca_system_score_gemma":0.007707336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003421517,"about_ca_topic_score_gemma":0.008667931,"domain_scores_codex":[0.9941947,0.003287341,0.0001947563,0.0002702872,0.001294527,0.0007584687],"domain_scores_gemma":[0.9886141,0.005277517,0.000820297,0.000660077,0.00225121,0.002376923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009325675,0.001972022,0.04405484,0.0003224382,0.0003487242,0.0006019125,0.0005773955,0.005412134,0.001024459,0.03311948,0.06490057,0.8467336],"study_design_scores_gemma":[0.0007685113,0.002643454,0.1900543,0.004400235,0.001762851,0.002946991,0.00605713,0.04253522,0.006102951,0.5432581,0.1992223,0.0002479743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2636791,0.02289724,0.04275297,0.2942818,0.002585351,0.0004486983,0.001277913,0.0006299909,0.3714468],"genre_scores_gemma":[0.9721381,0.004289499,0.008206906,0.006383311,0.001777412,0.00008049689,0.0003039868,0.00009448919,0.006725735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01447174,"threshold_uncertainty_score":0.0484128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05006533701423743,"score_gpt":0.3747789489315777,"score_spread":0.3247136119173403,"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."}}