{"id":"W2107724629","doi":"10.1002/sim.1095","title":"Detecting and eliminating erroneous gestational ages: a normal mixture model","year":2001,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Birth, Development, and Health","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Dalhousie University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Gestational age; Birth weight; Medicine; Obstetrics; Population; Small for gestational age; Gestation; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01500227,0.001850643,0.002995451,0.002831619,0.001210839,0.002227119,0.004718076,0.003391287,0.001287734],"category_scores_gemma":[0.04299793,0.00148029,0.002411631,0.002388457,0.002793015,0.003523454,0.002798605,0.003755512,0.001103071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388224,"about_ca_system_score_gemma":0.00181107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01875388,"about_ca_topic_score_gemma":0.01161346,"domain_scores_codex":[0.9947506,0.002762896,0.000275625,0.001318027,0.0005510605,0.0003418713],"domain_scores_gemma":[0.9773377,0.01845092,0.00100375,0.001384089,0.001625451,0.0001981538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008824152,0.000245881,0.01239923,0.0001508125,0.0004645217,0.0002591399,0.0004811794,0.7067861,0.001185889,0.03354258,0.004000938,0.2396013],"study_design_scores_gemma":[0.00004502536,0.00003311983,0.001220422,0.0000182733,0.00005707251,0.00007568086,0.0000187949,0.9798121,0.000386004,0.01756694,0.0007277994,0.00003872078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01708449,0.0003889835,0.9808664,0.0004733642,0.00008864481,0.00005083118,0.0001511493,0.0005854166,0.0003107498],"genre_scores_gemma":[0.4264709,0.001132444,0.56342,0.0006312992,0.0004095468,0.0004826418,0.001711972,0.0003494932,0.005391756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01875388,"threshold_uncertainty_score":0.07934052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034987883830143,"score_gpt":0.3359374601667724,"score_spread":0.305587581328471,"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."}}