{"id":"W4403227142","doi":"10.1016/j.cjca.2024.08.071","title":"META-ANALYSIS OF PRENATAL RISK FACTORS FOR CONGENITAL HEART DISEASE: PART 2 - MATERNAL ALCOHOL AND MEDICATION, ASSISTED REPRODUCTIVE TECHNOLOGIES, AND FAMILIAL AND FETAL FACTORS","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Issues in Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Fetus; Heart disease; Risk factor; Obstetrics; Pregnancy; Reproductive technology; Internal medicine; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006276876,0.0001962675,0.001470406,0.0006061057,0.00007594515,0.00003104708,0.00009017771,0.0001666599,0.00001383165],"category_scores_gemma":[0.001101763,0.0001427727,0.000891671,0.0002446758,0.0007569824,0.0001134289,0.0000351279,0.000275549,1.455672e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008126529,"about_ca_system_score_gemma":0.0004244958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005348116,"about_ca_topic_score_gemma":0.0003683249,"domain_scores_codex":[0.9985377,0.0001468056,0.0004864077,0.0003889785,0.0002054706,0.0002346238],"domain_scores_gemma":[0.9985796,0.000251816,0.0001652115,0.0003384983,0.0002486801,0.000416212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001747429,0.000005076936,0.6464644,0.0002413614,0.3439437,0.0005682081,0.0007292327,0.00007957775,0.000151802,0.000148464,0.001314239,0.006179142],"study_design_scores_gemma":[0.000760401,0.0002906602,0.6815368,0.00005494709,0.2978514,0.00208739,0.0009343114,0.00006308017,0.0006216567,0.0002848321,0.01531184,0.0002026467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9041976,0.09229006,0.0007360464,0.0006289799,0.0004372546,0.0003360716,0.001317995,0.00001852467,0.00003748405],"genre_scores_gemma":[0.9987449,0.0006630958,0.0002370031,0.00001025476,0.0001926251,0.00001322504,0.00006013689,0.00001884922,0.00005989286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09454733,"threshold_uncertainty_score":0.5822102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04407929399113906,"score_gpt":0.2874443562173425,"score_spread":0.2433650622262035,"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."}}