{"id":"W2005536960","doi":"10.1097/hjr.0b013e328305df05","title":"Contribution of patient and physician factors to cardiac rehabilitation enrollment: a prospective multilevel study","year":2008,"lang":"en","type":"article","venue":"European Journal of Cardiovascular Prevention & Rehabilitation","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Toronto Rehabilitation Institute; University of Ottawa; London Health Sciences Centre; York University; University of Toronto; University Health Network","funders":"Institute of Gender and Health; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Medicine; Referral; Logistic regression; Prospective cohort study; Rehabilitation; Multilevel model; Coronary artery disease; Family medicine; Physical therapy; Emergency medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003607168,0.0001912098,0.0008670748,0.0003474232,0.0001404005,0.000008406559,0.00005043717,0.00003452293,0.000002825086],"category_scores_gemma":[0.001377412,0.000169487,0.001079408,0.0003204042,0.00008907174,0.0002459809,0.0000364463,0.0002097275,0.00000455388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003827608,"about_ca_system_score_gemma":0.0001733558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002703279,"about_ca_topic_score_gemma":8.842486e-7,"domain_scores_codex":[0.9951653,0.002233118,0.001141628,0.000300994,0.0009428119,0.0002161112],"domain_scores_gemma":[0.9973167,0.0002750396,0.000488177,0.0003330971,0.001258017,0.00032904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005383723,0.00448831,0.5633232,0.001336901,0.003672844,0.0001038962,0.1171301,0.001661841,0.004515069,0.0001218001,0.0004057861,0.2978565],"study_design_scores_gemma":[0.005284612,0.02119055,0.9615084,0.0003895305,0.0005618445,0.00005065961,0.008208858,0.000008637867,0.0005441137,0.00005234428,0.00206732,0.0001331623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921233,0.001128844,0.002742662,0.0001391016,0.0003644081,0.003275748,0.00001203426,0.00001754955,0.0001963592],"genre_scores_gemma":[0.9964985,0.0000764673,0.003161982,0.00003568181,0.0001452845,0.00002782673,0.00001391484,0.00002960634,0.00001070679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3981852,"threshold_uncertainty_score":0.6911477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157822177442012,"score_gpt":0.2779499129329214,"score_spread":0.2663716911585013,"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."}}