{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01082912,0.0009580933,0.001180302,0.0006475498,0.0007792027,0.0009039557,0.001002255,0.0008792974,0.003327677],"category_scores_gemma":[0.01446144,0.0003983712,0.001431904,0.0006227191,0.0008519097,0.001542063,0.001011255,0.001902194,0.0006750327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006457212,"about_ca_system_score_gemma":0.00116967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005058054,"about_ca_topic_score_gemma":0.003240419,"domain_scores_codex":[0.9963937,0.002755415,0.0001454452,0.0003094673,0.0001809793,0.0002149209],"domain_scores_gemma":[0.9712604,0.02045161,0.001306517,0.003546424,0.00169954,0.001735526],"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":[0.139029,0.06981438,0.7268251,0.0002746487,0.002218038,0.0006714734,0.001562729,0.002213191,0.002838367,0.0003701185,0.001661641,0.05252131],"study_design_scores_gemma":[0.02441744,0.2142498,0.746609,0.00009019789,0.001853473,0.0005399275,0.001475972,0.006598732,0.001718987,0.0005259458,0.001825997,0.00009459448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987904,0.0001159809,0.000256395,0.00008108113,0.0000123419,0.000204863,0.000245982,0.000005987657,0.0002869711],"genre_scores_gemma":[0.9970092,0.0001947735,0.001007316,0.00009183519,0.0000515509,0.0004147819,0.0008022393,0.000007721806,0.000420616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082912,"threshold_uncertainty_score":0.05727053,"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."}}