{"id":"W2998628935","doi":"10.1097/hcr.0000000000000475","title":"Entering Cardiac Rehabilitation With Peripheral Artery Disease","year":2020,"lang":"en","type":"article","venue":"Journal of Cardiopulmonary Rehabilitation and Prevention","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Coronary artery disease; Cardiorespiratory fitness; Internal medicine; Cardiology; Diabetes mellitus; Rehabilitation; Anthropometry; Exercise prescription; Blood pressure; Surgery; Physical therapy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003876624,0.0001485394,0.0003836619,0.000105981,0.00005896451,0.00003710246,0.00004411492,0.00003200882,0.0000450331],"category_scores_gemma":[0.0002016095,0.0001203855,0.0003523355,0.0001617746,0.00008282976,0.0005041264,0.00002380389,0.0001382915,0.000002968561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009153908,"about_ca_system_score_gemma":0.00007934342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.917862e-7,"about_ca_topic_score_gemma":2.409086e-7,"domain_scores_codex":[0.9984834,0.0002423515,0.0004908985,0.0002135996,0.0004426164,0.000127127],"domain_scores_gemma":[0.9989201,0.00009219698,0.0002168757,0.0001416092,0.0002344503,0.0003947757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01942797,0.000608713,0.7940174,0.003411368,0.001031378,0.0003702438,0.006306923,0.001686127,0.007784565,0.0004181419,0.003522218,0.1614149],"study_design_scores_gemma":[0.00189516,0.005940527,0.9720365,0.0005194786,0.0005468926,0.0000707529,0.001971223,0.000756742,0.000009738818,0.0006454705,0.01543758,0.0001699488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980864,0.00100126,0.002902812,0.01410567,0.0001407473,0.000582378,0.000006737167,0.00003100775,0.000365394],"genre_scores_gemma":[0.9910481,0.00006516864,0.008073478,0.0003611444,0.0002938703,0.00002306146,0.00001715653,0.00001906682,0.00009893938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1780191,"threshold_uncertainty_score":0.4909177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053859393413254,"score_gpt":0.2487713611775119,"score_spread":0.2382327672433793,"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."}}