{"id":"W3101011329","doi":"10.1097/hcr.0000000000000559","title":"Factors Associated With Change in Cardiovascular Fitness for Patients With Peripheral and Coronary Artery Disease in Cardiac Rehabilitation","year":2020,"lang":"en","type":"article","venue":"Journal of Cardiopulmonary Rehabilitation and Prevention","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute","funders":"","keywords":"Medicine; Coronary artery disease; Internal medicine; Cardiorespiratory fitness; Cardiology; Diabetes mellitus; Myocardial infarction; Arterial disease; Rehabilitation; Physical therapy; Vascular disease; Endocrinology","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":[0.0008964586,0.0001573939,0.0007108183,0.0001756375,0.0000483422,0.00001077083,0.00002132377,0.00007314387,0.000001889165],"category_scores_gemma":[0.0003817135,0.0001202743,0.0002755038,0.0002383987,0.00006775328,0.0003996236,0.000009704458,0.0001764192,5.133861e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002423637,"about_ca_system_score_gemma":0.0001577181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001801417,"about_ca_topic_score_gemma":0.00001379091,"domain_scores_codex":[0.9982586,0.0004133843,0.0005057555,0.0002399295,0.0003953395,0.0001869933],"domain_scores_gemma":[0.9987476,0.0003714861,0.0001907258,0.00009669408,0.000238774,0.000354651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00460906,0.0001924033,0.9765745,0.0009786214,0.00010318,0.00001233816,0.002852605,0.00007357567,0.000005311351,0.000005763692,0.00001054905,0.01458204],"study_design_scores_gemma":[0.005727634,0.00632024,0.9849535,0.0008512415,0.0002457074,0.000005361843,0.001323515,0.0001387872,5.633635e-7,0.00007710139,0.000236906,0.0001194479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941678,0.001999606,0.00008794503,0.001388291,0.0001052828,0.002188454,0.00004405282,0.000008275693,0.00001026667],"genre_scores_gemma":[0.9989455,0.0001084328,0.0004868915,0.0001135823,0.00009069355,0.0001046164,0.000126775,0.0000199597,0.000003557135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01446259,"threshold_uncertainty_score":0.4904645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256451718990583,"score_gpt":0.2886066931561531,"score_spread":0.2629615212570948,"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."}}