{"id":"W2791143601","doi":"10.1253/circj.cj-17-1012","title":"Late Gadolinium Enhancement for Prediction of Mutation-Positive Hypertrophic Cardiomyopathy on the Basis of Panel-Wide Sequencing","year":2018,"lang":"en","type":"article","venue":"Circulation Journal","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kanazawa University","keywords":"Hypertrophic cardiomyopathy; Cardiology; Medicine; Pathological; Internal medicine; Mutation; Cardiac magnetic resonance; Gadolinium; Gene mutation; Magnetic resonance imaging; Cardiomyopathy; Gene; Genetics; Radiology; Heart failure; Biology; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002630426,0.0005081863,0.0004009888,0.001396744,0.0001771752,0.0004177201,0.0003777481,0.0005725065,0.0007160918],"category_scores_gemma":[0.004405271,0.0001849099,0.0003345853,0.0003605768,0.0002466729,0.0002357176,0.0003559454,0.0004366923,0.0002154899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457337,"about_ca_system_score_gemma":0.0002050288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006027228,"about_ca_topic_score_gemma":0.001547492,"domain_scores_codex":[0.999115,0.000444208,0.00007132709,0.0001823735,0.0001241333,0.00006291131],"domain_scores_gemma":[0.9970816,0.001663827,0.0005482348,0.0001212015,0.0002219351,0.0003633192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004629992,0.0000374367,0.9886633,0.00001722688,0.00009800136,0.0002252938,0.00004141103,0.0006371823,0.004050179,0.00002387607,0.0001062152,0.005636954],"study_design_scores_gemma":[0.0000295767,0.0003109363,0.9802418,0.00003270863,0.0001968478,0.001782296,0.0000688846,0.01499873,0.001914324,0.0001418124,0.0002688826,0.00001324221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981844,0.0005498331,0.0008147513,0.00004646049,0.000007353347,0.00001542289,0.0000801409,0.00001479029,0.0002867472],"genre_scores_gemma":[0.9989616,0.00009240978,0.0007885455,0.00002255194,0.000007922873,0.000006826023,0.00008615873,0.000001816472,0.00003216803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002630426,"threshold_uncertainty_score":0.01391119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0564218979759849,"score_gpt":0.2770333471294756,"score_spread":0.2206114491534907,"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."}}