{"id":"W4296805680","doi":"10.1097/hcr.0000000000000722","title":"A Nonexercise Prediction of Peak Oxygen Uptake for Patients With Cardiovascular Disease","year":2022,"lang":"en","type":"article","venue":"Journal of Cardiopulmonary Rehabilitation and Prevention","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University Health Network","funders":"","keywords":"Medicine; Cardiology; Conventional PCI; Cohort; Internal medicine; Coronary artery disease; Myocardial infarction; VO2 max; Treadmill; Heart rate; Blood pressure","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":[0.001176163,0.0006153033,0.0004730436,0.0005301628,0.0002365865,0.0004165797,0.0005523378,0.0005363014,0.001208739],"category_scores_gemma":[0.004780483,0.0002018419,0.0004093549,0.0004084027,0.0000999126,0.0003483375,0.0004600851,0.0007104825,0.0006080846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000180995,"about_ca_system_score_gemma":0.0003543049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00506412,"about_ca_topic_score_gemma":0.005581138,"domain_scores_codex":[0.9995885,0.0001293719,0.00004806379,0.0001191156,0.0000877328,0.0000272668],"domain_scores_gemma":[0.9983997,0.000619286,0.0004319353,0.000139728,0.0002865671,0.0001227622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001934283,0.0001199675,0.9936407,0.00001946766,0.000070477,0.00002991815,0.00002806115,0.0005111195,0.0001501482,0.00002220628,0.0004281664,0.004786274],"study_design_scores_gemma":[0.00004677828,0.0002779678,0.9899754,0.00001601304,0.0000815662,0.0001315673,0.00004098,0.008578354,0.0002368038,0.00006645789,0.0005407559,0.000007472971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992234,0.0003421276,0.003421532,0.0001892207,0.00004230322,0.00009010427,0.002244022,0.0000915584,0.001345114],"genre_scores_gemma":[0.9955381,0.00009513805,0.001570763,0.00004038299,0.00001749569,0.00005990795,0.002034625,0.000007568321,0.0006360991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00506412,"threshold_uncertainty_score":0.01006931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008983592411151514,"score_gpt":0.2273150338272534,"score_spread":0.2183314414161019,"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."}}