{"id":"W2139443890","doi":"10.7863/ultra.32.6.973","title":"Increasing the Detection Rate of Congenital Heart Disease During Routine Obstetric Screening Using Cine Loop Sweeps","year":2013,"lang":"en","type":"article","venue":"Journal of Ultrasound in Medicine","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; St Mary's Hospital Centre; London Health Sciences Centre; South Bruce Grey Health Centre; Mohawk College","funders":"","keywords":"Medicine; Ventricular outflow tract; False positive rate; Fetal echocardiography; Heart disease; Heart rate; Radiology; Cardiology; Fetus; Prenatal diagnosis; Pregnancy; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001177513,0.0002544952,0.0008076228,0.0006264639,0.0001686448,0.00001975287,0.0001297301,0.00005970251,0.0002173555],"category_scores_gemma":[0.01152442,0.0001606159,0.0001663391,0.001156844,0.0004088184,0.0003561398,0.00005387172,0.0005444774,0.000003891096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869921,"about_ca_system_score_gemma":0.0001664839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006442887,"about_ca_topic_score_gemma":0.00002753497,"domain_scores_codex":[0.9973198,0.0002827218,0.001216466,0.0001942643,0.0006188464,0.0003679439],"domain_scores_gemma":[0.9959286,0.002061763,0.0004619864,0.0002812271,0.0008936109,0.0003728344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002091685,0.0002185958,0.5673747,0.0004362241,0.0003302377,0.0002082275,0.0008524895,0.0001047376,0.4257409,0.000002008761,0.0001073139,0.002532865],"study_design_scores_gemma":[0.005469315,0.0005782919,0.9826688,0.001648944,0.0007812616,0.00195545,0.003342668,0.0007875858,0.002426678,0.00009106135,0.00008198299,0.0001679487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866619,0.01056544,0.0003099368,0.001509641,0.0003550491,0.0004962675,0.000004137166,0.00001450016,0.00008313144],"genre_scores_gemma":[0.9980018,0.0003046356,0.0004525609,0.00032753,0.0007990273,0.000005233832,0.00000243439,0.00003373471,0.00007300099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4233142,"threshold_uncertainty_score":0.9968019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407609393181956,"score_gpt":0.2862277274726766,"score_spread":0.262151633540857,"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."}}