{"id":"W2979629930","doi":"10.1016/j.cjca.2019.07.552","title":"PHYSIOLOGIC CARDIAC REMODELING IN MIDDLE-AGED ATHLETES IS INDEPENDENT OF ENDURANCE SPORT DISCIPLINE: A CARDIAC MAGNETIC RESONANCE STUDY","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Athletes; Cardiology; Internal medicine; Cardiac magnetic resonance imaging; Endurance training; Body surface area; Physical therapy; Magnetic resonance imaging; Cardiac function curve; Cardiac magnetic resonance; Sports medicine; Demographics; Cohort; Heart failure; Radiology","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":[0.0005042535,0.0005286285,0.000563064,0.0006961076,0.000819031,0.0006143164,0.0003727649,0.0008674738,0.001472731],"category_scores_gemma":[0.0006642776,0.0004474572,0.0004117537,0.0005377948,0.000521268,0.0006493159,0.0004659604,0.0006061788,0.0003837572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115722,"about_ca_system_score_gemma":0.0003091007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00387213,"about_ca_topic_score_gemma":0.004917128,"domain_scores_codex":[0.9997899,0.00003932049,0.00001807367,0.00005135739,0.00002889897,0.00007252603],"domain_scores_gemma":[0.9995485,0.00006164843,0.000090066,0.00003986795,0.00004995604,0.00020993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003529038,0.001769315,0.9798978,0.00002542639,0.0002355839,0.001329296,0.0006856414,0.00003326546,0.008896809,0.0000438535,0.0001425974,0.003411304],"study_design_scores_gemma":[0.00002779663,0.0004526066,0.998823,0.000001717012,0.00003977941,0.0003049532,0.0001584409,0.00003402945,0.00006673382,0.00001226181,0.00007545343,0.00000319177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994854,0.00008815304,0.00004227601,0.00002202872,0.000007915877,0.000008659599,0.00004606389,0.000001385408,0.0002982378],"genre_scores_gemma":[0.9993444,0.00006939705,0.00005243557,0.00005005619,0.00005745179,0.00001172245,0.0001372148,0.000002266186,0.0002750715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00387213,"threshold_uncertainty_score":0.007699192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346202082346217,"score_gpt":0.2366586910716111,"score_spread":0.2231966702481489,"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."}}