{"id":"W2570414455","doi":"10.1016/j.ihj.2016.12.021","title":"Left ventricular structure and diastolic function by cardiac magnetic resonance imaging in hypertrophic cardiomyopathy","year":2017,"lang":"en","type":"article","venue":"Indian Heart Journal","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; University of Toronto; Toronto General Hospital; St. Michael's Hospital","funders":"","keywords":"Hypertrophic cardiomyopathy; Cardiology; Medicine; Internal medicine; Diastole; Muscle hypertrophy; Diastolic function; Left ventricular hypertrophy; Concentric hypertrophy; Hypertensive heart disease; Magnetic resonance imaging; Cardiac magnetic resonance imaging; Heart failure; Blood pressure; Radiology","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":[0.0004819526,0.0002429688,0.0001477888,0.0005262681,0.0001426535,0.0002071279,0.00011428,0.0002660801,0.0006229164],"category_scores_gemma":[0.001187142,0.0001101464,0.0001056951,0.0002253727,0.0002142112,0.0001771842,0.0002146721,0.0001989609,0.0001233796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229154,"about_ca_system_score_gemma":0.00008337503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004947598,"about_ca_topic_score_gemma":0.0007169655,"domain_scores_codex":[0.9998949,0.00003278614,0.00001421697,0.00002294666,0.00001916499,0.0000160494],"domain_scores_gemma":[0.9994256,0.0001589054,0.0002258775,0.00002523596,0.00004090345,0.0001235122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002973445,0.00002772379,0.9938882,0.00001630693,0.00002631053,0.0003905689,0.00008119145,0.00005651495,0.00211229,0.0000141327,0.00003774796,0.003051666],"study_design_scores_gemma":[0.000005288182,0.0001143617,0.998799,0.000005044854,0.00000952849,0.0007627992,0.00003613868,0.0001100433,0.0001046182,0.00001533418,0.00003654239,0.000001235512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991711,0.0005256426,0.0000597251,0.00001825457,0.000003175846,0.000001826447,0.00002470943,0.000001945609,0.0001935012],"genre_scores_gemma":[0.9996806,0.0001156376,0.00008092046,0.00001123285,0.00001289787,0.00000198894,0.00004323181,6.424495e-7,0.00005279524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006229164,"threshold_uncertainty_score":0.002548814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007043132334205423,"score_gpt":0.2296142064237225,"score_spread":0.222571074089517,"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."}}