{"id":"W4380794476","doi":"10.1161/circ.146.suppl_1.12563","title":"Abstract 12563: Creation of an Artificial Intelligence Model For Prediction of Major Adverse Cardiovascular Events Late After Tetralogy of Fallot Repair","year":2022,"lang":"en","type":"article","venue":"Circulation","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto General Hospital","funders":"","keywords":"Mace; Medicine; Tetralogy of Fallot; Retrospective cohort study; Internal medicine; Heart failure; Cardiology; Heart disease; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002273732,0.000889748,0.0007271233,0.0009750834,0.0003317116,0.0009093328,0.0007585998,0.0007389023,0.001567408],"category_scores_gemma":[0.00524845,0.0002404901,0.0008334157,0.0005408435,0.0003164336,0.0003700361,0.0004697664,0.0009748859,0.0005276859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006344673,"about_ca_system_score_gemma":0.0008591817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325944,"about_ca_topic_score_gemma":0.005757022,"domain_scores_codex":[0.9994833,0.0001894175,0.00003541042,0.0001686751,0.0000528981,0.0000702314],"domain_scores_gemma":[0.9977696,0.001631558,0.0001643287,0.00007065925,0.0002766746,0.00008721343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001017352,0.001127269,0.1697198,0.0001219093,0.0004378858,0.0004417307,0.0001897204,0.6868468,0.001789603,0.0006258687,0.00682788,0.1308543],"study_design_scores_gemma":[0.00002889552,0.0001351062,0.008616135,0.00001189247,0.00003703365,0.00003243044,0.00001406328,0.9902483,0.0002219996,0.0004751382,0.0001710667,0.000007935174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114049,0.0005028776,0.0809162,0.0009651314,0.000121589,0.000307229,0.002548179,0.0009485496,0.002285328],"genre_scores_gemma":[0.9814139,0.00008481206,0.01445309,0.0001330439,0.00004698656,0.0001961606,0.002822217,0.00001585954,0.000833922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01325944,"threshold_uncertainty_score":0.02636451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03724518916092612,"score_gpt":0.2855149645819414,"score_spread":0.2482697754210152,"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."}}