{"id":"W4392820890","doi":"10.1016/j.cjca.2024.02.029","title":"Cardiovascular Magnetic Resonance-Based Tissue Characterization in Patients With Hypertrophic Cardiomyopathy","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research; Bristol-Myers Squibb Canada; Alberta Innovates - Health Solutions; Pfizer","keywords":"Medicine; Hypertrophic cardiomyopathy; Magnetic resonance imaging; Cardiology; Cardiac magnetic resonance; Internal medicine; Cardiomyopathy; Radiology; Heart failure","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004434478,0.0003602277,0.000347731,0.001001321,0.0004683408,0.0005590527,0.0003094344,0.0007238187,0.001047173],"category_scores_gemma":[0.001712481,0.0001816947,0.000192564,0.0004396985,0.0004040859,0.0003551773,0.0002767807,0.0004384617,0.0001745164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470477,"about_ca_system_score_gemma":0.0003669849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003100403,"about_ca_topic_score_gemma":0.00469372,"domain_scores_codex":[0.9998096,0.00003320726,0.00002551816,0.00003393107,0.00003971342,0.00005816018],"domain_scores_gemma":[0.9994577,0.0001971049,0.0001089744,0.00002331928,0.00006863473,0.0001443084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005623458,0.00008566489,0.9885958,0.00002169913,0.00002463249,0.00321569,0.0001893577,0.00008147149,0.00345247,0.00004622257,0.0001102066,0.003614469],"study_design_scores_gemma":[0.0000103666,0.0001967857,0.9956282,0.00001422319,0.00003113276,0.002956259,0.0004248246,0.0003004473,0.0002790466,0.00005067607,0.0001027185,0.000005376081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984797,0.0003691096,0.0000660871,0.00007130763,0.000007705596,0.000005740939,0.00003218571,0.000002566275,0.0009655617],"genre_scores_gemma":[0.9996165,0.0001271682,0.00006123161,0.00004055392,0.00002227746,0.000003012112,0.00004248657,0.000001241402,0.00008553384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003100403,"threshold_uncertainty_score":0.00616467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007366311461555942,"score_gpt":0.1966226122312346,"score_spread":0.1892563007696786,"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."}}