{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001510696,0.0001537356,0.0005143229,0.00009190351,0.00007146673,0.00002102897,0.00006383819,0.0001606657,0.00004884657],"category_scores_gemma":[0.001200506,0.000144054,0.0001896994,0.0002263896,0.00006045281,0.000157065,0.00005158037,0.0003189128,0.0004067296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988119,"about_ca_system_score_gemma":0.0004701357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004594787,"about_ca_topic_score_gemma":0.000001237479,"domain_scores_codex":[0.9982131,0.00002348927,0.000534936,0.0004007895,0.0004265953,0.0004010929],"domain_scores_gemma":[0.9983581,0.0002164265,0.0001388186,0.0001601905,0.0002659798,0.0008605174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005078938,0.000939121,0.5416198,0.00228108,0.0001915728,0.00003392568,0.03403364,0.000003926834,0.002641079,0.001603619,0.3590061,0.05256712],"study_design_scores_gemma":[0.01573081,0.008036588,0.269945,0.001699713,0.0007463088,0.00008383463,0.0377324,0.0008979882,0.001959044,0.00760209,0.6544949,0.001071343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372423,0.0006693793,0.00002645285,0.005630173,0.001369801,0.0008700889,0.000022099,0.0001905544,0.05397915],"genre_scores_gemma":[0.970545,0.0001346777,0.02290966,0.003746517,0.001343815,0.00008821557,0.00006359975,0.00004170946,0.001126813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2954888,"threshold_uncertainty_score":0.5874352,"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."}}