{"id":"W2893345793","doi":"10.1016/j.cjca.2018.07.406","title":"DIAGNOSTIC YIELD OF CARDIOVASCULAR MAGNETIC RESONANCE (CMR) SCREENING FOR ARRHYTHMOGENIC RIGHT VENTRICULAR CARDIOMYOPATHY (ARVC) STRATIFIED BY BASELINE ECHOCARDIOGRAPHY FINDINGS OF THE RIGHT VENTRICLE","year":2018,"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":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Ventricle; Arrhythmogenic right ventricular dysplasia; Magnetic resonance imaging; Cardiac magnetic resonance imaging; Cardiomyopathy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002915533,0.0003818026,0.002262212,0.0007036981,0.0002016207,0.00002118922,0.0005583672,0.0003526334,0.00003881535],"category_scores_gemma":[0.003276608,0.0003001009,0.00519343,0.001079305,0.0008447046,0.0001075217,0.00005129698,0.0004788743,0.000003421365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643888,"about_ca_system_score_gemma":0.0008778587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006828409,"about_ca_topic_score_gemma":0.00009458663,"domain_scores_codex":[0.9963946,0.0005652857,0.001102723,0.0004536987,0.0007249672,0.000758743],"domain_scores_gemma":[0.9954459,0.00094174,0.0003907226,0.001246402,0.001346694,0.0006285108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003795502,0.0001645492,0.4964994,0.002377347,0.04577324,0.01507276,0.0006896685,0.02668019,0.01259573,0.0005834401,0.2449232,0.150845],"study_design_scores_gemma":[0.0109218,0.00399204,0.1893443,0.002203423,0.01600905,0.008659433,0.0001378092,0.0002519111,0.07178108,0.000357552,0.6953709,0.0009706755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7168555,0.2353734,0.04056534,0.0004770257,0.002412552,0.002541586,0.0007042511,0.00002008834,0.001050283],"genre_scores_gemma":[0.9964289,0.0007749806,0.000766505,0.00008798588,0.001795653,0.0000294909,0.00001908211,0.00006327858,0.00003412585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4504477,"threshold_uncertainty_score":0.9999451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008241330347046721,"score_gpt":0.2095482489399287,"score_spread":0.201306918592882,"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."}}