{"id":"W4412110105","doi":"10.1161/circimaging.124.017944","title":"<i>Z</i> Scores for Pediatric Echocardiography Dimensions Adjusted for Body Size, BMI, and Age","year":2025,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Hospital for Sick Children; University of Alberta; Centre Hospitalier Universitaire Sainte-Justine; Dalhousie University; Libin Cardiovascular Institute of Alberta; Izaak Walton Killam Health Centre; Alberta Children's Hospital; Queen's University; Montreal Children's Hospital; Centre hospitalier universitaire de Québec; Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Medicine; Body surface area; Body mass index; Confounding; Overweight; Cardiology; Standard score; Sample size determination; Mass index; Internal medicine; Pediatrics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008949159,0.0003053368,0.0008772853,0.0006025921,0.0004118744,0.00009321246,0.0000722956,0.0001339543,0.000005150237],"category_scores_gemma":[0.0005923152,0.0002967941,0.003469714,0.0008432621,0.00009517419,0.0001546105,0.00005145574,0.0001678505,0.000002530666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008718003,"about_ca_system_score_gemma":0.0001183744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003370595,"about_ca_topic_score_gemma":0.000001444913,"domain_scores_codex":[0.9979463,0.00009463437,0.0004231672,0.0007198186,0.0004178579,0.0003982375],"domain_scores_gemma":[0.9981959,0.0003470647,0.00007361289,0.0007916464,0.0004453752,0.0001463272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002519439,0.0001058821,0.944257,0.001277129,0.008264932,0.00004489246,0.0001233565,0.002970932,0.00194516,0.001117987,0.007266743,0.03237401],"study_design_scores_gemma":[0.008287379,0.00003329108,0.8869109,0.0001248029,0.00969699,0.00009714645,0.0001645858,0.00448411,0.0003679548,0.0006481448,0.08874475,0.0004399327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2900358,0.04495406,0.6536145,0.0006558442,0.002495042,0.006058309,0.00009075108,0.000626688,0.001468922],"genre_scores_gemma":[0.9942987,0.001052,0.002860361,0.0005157354,0.0005522029,0.0003453226,0.0001775573,0.00006327863,0.0001348331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7042629,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223313748567922,"score_gpt":0.2521604414559969,"score_spread":0.2399273039703176,"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."}}