{"id":"W4388419878","doi":"10.1161/circ.148.suppl_1.13861","title":"Abstract 13861: Risk Prediction in Adults Late After Tetralogy of Fallot Repair: Does Machine Learning Provide Incremental Value Above Expert Clinical Judgement?","year":2023,"lang":"en","type":"article","venue":"Circulation","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Hospital for Sick Children; Roche (Canada); Toronto General Hospital","funders":"","keywords":"Medicine; Mace; Tetralogy of Fallot; Internal medicine; Cardiology; Heart failure; Ventricular tachycardia; Population; Sudden cardiac death; Heart disease; Myocardial infarction","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":[0.009569934,0.0006064756,0.0008503157,0.001016802,0.0002408263,0.00117167,0.0006532656,0.00101847,0.001825693],"category_scores_gemma":[0.04966546,0.0001516914,0.0005897959,0.0005803459,0.0004382006,0.001112906,0.0005424158,0.001078022,0.0005211217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004174463,"about_ca_system_score_gemma":0.0004912925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009295585,"about_ca_topic_score_gemma":0.001153253,"domain_scores_codex":[0.9960843,0.002344712,0.0002784517,0.0004599876,0.0006660273,0.0001665285],"domain_scores_gemma":[0.9625714,0.02975575,0.003089043,0.001135212,0.002450793,0.000997753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002147379,0.0003936528,0.9138286,0.000165864,0.0003566479,0.0001275981,0.0001417021,0.008283303,0.0005094807,0.0001836414,0.00186624,0.07199591],"study_design_scores_gemma":[0.0002960135,0.004218211,0.7937029,0.0002959873,0.0005207032,0.0008445816,0.000309576,0.191377,0.00212538,0.004446978,0.001760118,0.0001024845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860162,0.001692268,0.005950253,0.002585716,0.0001285679,0.00008750042,0.0006363597,0.0000852688,0.002817801],"genre_scores_gemma":[0.9968323,0.0002104186,0.002136254,0.0002368821,0.000137773,0.0000182227,0.0002870251,0.000006482957,0.0001346213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009569934,"threshold_uncertainty_score":0.0506112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167132411039945,"score_gpt":0.3125561338266853,"score_spread":0.2908848097162859,"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."}}