{"id":"W4323033259","doi":"10.1016/s0735-1097(23)00795-7","title":"EXTERNAL VALIDATION OF TORONTO AND MAYO HYPERTROPHIC CARDIOMYOPATHY PREDICTIVE MODELS FOR PATHOGENIC MUTATION","year":2023,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Hypertrophic cardiomyopathy; Internal medicine; Mutation; Cardiology; Genetics","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":[0.01957524,0.002152149,0.001479906,0.002773031,0.001475399,0.002361906,0.002354549,0.001872713,0.003107438],"category_scores_gemma":[0.04697601,0.0005793262,0.002122018,0.001283123,0.001139958,0.00111766,0.002896614,0.001459384,0.001829034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654171,"about_ca_system_score_gemma":0.003067016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03313057,"about_ca_topic_score_gemma":0.049005,"domain_scores_codex":[0.9935158,0.003085606,0.0004210491,0.001609115,0.0008941573,0.0004742045],"domain_scores_gemma":[0.9713102,0.01759278,0.00179763,0.00291912,0.005006274,0.001374052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004518297,0.0004776819,0.9012828,0.0001948621,0.003238344,0.0005963857,0.0005550796,0.03643683,0.002214612,0.0007808194,0.01396026,0.03574397],"study_design_scores_gemma":[0.001188523,0.001076935,0.5975304,0.0003454075,0.003529615,0.001097304,0.0008303252,0.3778479,0.005334811,0.002598166,0.008460243,0.0001602812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743204,0.00077834,0.009846749,0.000506248,0.00021756,0.0002221038,0.009127404,0.000570454,0.004410726],"genre_scores_gemma":[0.9810455,0.0001037213,0.003585364,0.0001218325,0.00007813858,0.0001121663,0.01382255,0.0001252163,0.001005496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03313057,"threshold_uncertainty_score":0.103525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868888172253029,"score_gpt":0.2749340201263848,"score_spread":0.2562451384038545,"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."}}