{"id":"W2758548087","doi":"10.1016/j.cjca.2017.07.067","title":"T1-MAPPING DERIVED CARDIAC EXTRACELLULAR VOLUME IN MIDDLE-AGED ENDURANCE ATHLETES AND RECREATIONALLY-ACTIVE ADULTS","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Cardiology; Athletes; Endurance training; Internal medicine; Magnetic resonance imaging; Myocardial fibrosis; End-systolic volume; Physical therapy; Stroke volume; Fibrosis; Ejection fraction; Radiology; Heart failure","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002114879,0.0002072577,0.0002841132,0.0002584555,0.0002427829,0.0004541198,0.0001541646,0.0004409346,0.001214917],"category_scores_gemma":[0.0008272873,0.00008916159,0.000135468,0.0001531096,0.0001852125,0.0003415432,0.000326912,0.000211343,0.0001973402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339477,"about_ca_system_score_gemma":0.0001263146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003891428,"about_ca_topic_score_gemma":0.004811047,"domain_scores_codex":[0.9999176,0.00001146603,0.000008833043,0.00002846771,0.000009453192,0.00002424369],"domain_scores_gemma":[0.9997914,0.00005565833,0.00003907871,0.00001007069,0.00003003739,0.00007375873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006976947,0.0003761244,0.9607775,0.00009663783,0.0001494038,0.001096837,0.00176571,0.0002486412,0.01621303,0.0001473202,0.0002961209,0.01185566],"study_design_scores_gemma":[0.00001963517,0.0004643872,0.9978594,0.000005829952,0.00002893541,0.000351561,0.0004557382,0.0003415413,0.0003073209,0.00003924819,0.000122303,0.000004139993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994438,0.00008927585,0.00005665666,0.00001109711,0.000002996371,0.000004395019,0.00009068226,0.00000131018,0.000299736],"genre_scores_gemma":[0.999617,0.00003599801,0.00005017509,0.00001592035,0.000007533707,0.000008679029,0.0001087259,0.000001065765,0.0001550174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003891428,"threshold_uncertainty_score":0.007737577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899931061766186,"score_gpt":0.2278440570963517,"score_spread":0.2088447464786898,"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."}}