{"id":"W3005659685","doi":"10.1186/s12968-020-0599-3","title":"Cardiovascular magnetic resonance based diagnosis of left ventricular non-compaction cardiomyopathy: impact of cine bSSFP strain analysis","year":2020,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Feature tracking; Cardiomyopathy; Internal medicine; Cardiology; Angiology; Magnetic resonance imaging; Left ventricular noncompaction; Subgroup analysis; Cardiac magnetic resonance imaging; Strain (injury); Cardiac magnetic resonance; Dilated cardiomyopathy; Phenotype; Radiology; Heart failure; Confidence interval","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":[0.0009345142,0.0002912026,0.0002196413,0.000558,0.0001428101,0.0003291875,0.0002095122,0.000259379,0.0007741381],"category_scores_gemma":[0.002594657,0.0000888074,0.0001084346,0.0001640385,0.0002264331,0.0002549,0.0003014989,0.0001648572,0.0001753582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001011781,"about_ca_system_score_gemma":0.0001235416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003964897,"about_ca_topic_score_gemma":0.0007884286,"domain_scores_codex":[0.9996517,0.0001262679,0.00004493467,0.00007570488,0.00006964145,0.00003184565],"domain_scores_gemma":[0.9984211,0.0006600119,0.0003880391,0.0001337114,0.0001905455,0.0002066778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003499483,0.00002720792,0.9887007,0.00001200526,0.00002090353,0.0004451289,0.0000515485,0.00005427556,0.005108354,0.00001744618,0.0000433411,0.005169102],"study_design_scores_gemma":[0.000007111413,0.0001789033,0.9967093,0.000006832746,0.00002385311,0.001972424,0.00007217896,0.0003300706,0.000599821,0.00002120221,0.00007614179,0.000002112677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992533,0.0001779468,0.0001954833,0.00001702083,0.000003375974,0.000003986068,0.00003957635,0.000002418159,0.0003069193],"genre_scores_gemma":[0.9996711,0.00004010318,0.0001636354,0.000007783161,0.000008832852,0.000002365913,0.00007614595,0.00000109831,0.00002901511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009345142,"threshold_uncertainty_score":0.004942238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369244424649559,"score_gpt":0.2485175704059808,"score_spread":0.2348251261594852,"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."}}