{"id":"W4396768019","doi":"10.1007/s00246-024-03512-x","title":"Machine Learning to Predict Outcomes of Fetal Cardiac Disease: A Pilot Study","year":2024,"lang":"en","type":"article","venue":"Pediatric Cardiology","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; Health Sciences Centre; Mount Sinai Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Cardiac surgery; Medicine; Vascular surgery; Disease; Fetus; Cardiology; Internal medicine; Intensive care medicine; Pregnancy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003102252,0.0002344593,0.0009366558,0.0003674993,0.00006795756,0.00001020543,0.00008073917,0.00003306206,0.0000471842],"category_scores_gemma":[0.000634188,0.0001895404,0.0003575471,0.0005238837,0.00005788537,0.00003643312,0.0002567988,0.0002718572,0.0001470281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006644994,"about_ca_system_score_gemma":0.0001889528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000976853,"about_ca_topic_score_gemma":0.000007144628,"domain_scores_codex":[0.9982721,0.0001818175,0.0003660914,0.0004824906,0.0003484504,0.0003490458],"domain_scores_gemma":[0.9988228,0.000352694,0.00002584718,0.0003365215,0.000117996,0.0003441336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004304216,0.000172952,0.9930812,0.0002015497,0.001169784,0.0005331159,0.0002748837,0.00002708541,0.00003341269,0.0000158849,0.001325164,0.002734533],"study_design_scores_gemma":[0.0006178812,0.002775099,0.9892995,0.000009264934,0.002706364,0.00001705877,0.0002383106,0.0001397397,6.996825e-7,0.00001963131,0.004016467,0.0001600285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598176,0.03582336,0.00003834869,0.0004393938,0.001089913,0.001131341,0.0002465991,0.0002614669,0.001152005],"genre_scores_gemma":[0.9965686,0.0006073366,0.0000294954,0.00003321801,0.001252894,0.0001710822,0.00002933704,0.00004079084,0.001267295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03675098,"threshold_uncertainty_score":0.7729234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871922564379493,"score_gpt":0.2957013699609288,"score_spread":0.2769821443171339,"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."}}