{"id":"W2911431860","doi":"10.1097/ede.0000000000000959","title":"Is the Association Between Pregnancy Weight Gain and Fetal Size Causal?","year":2018,"lang":"en","type":"article","venue":"Epidemiology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Weight gain; Medicine; Confounding; Pregnancy; Birth weight; Small for gestational age; Gestational age; Obstetrics; Body mass index; Population; Logistic regression; Percentile; Internal medicine; Body weight; Statistics; Biology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001342509,0.00007307128,0.0002314788,0.00003235816,0.00009807834,0.000004158837,0.00005971902,0.00007880244,0.0003497751],"category_scores_gemma":[0.007556292,0.00004558544,0.00004204843,0.00007889799,0.0001340514,0.00003144665,0.0000683719,0.0001451034,0.0002386537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007496928,"about_ca_system_score_gemma":0.00003036223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006012904,"about_ca_topic_score_gemma":0.00001482768,"domain_scores_codex":[0.9987856,0.0003633493,0.0002084159,0.0001903459,0.0001246784,0.0003276783],"domain_scores_gemma":[0.9956335,0.003913406,0.00009335811,0.0001587286,0.000100394,0.000100657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000013884,0.00001502516,0.9031576,0.00003693125,0.0001968985,0.000002525272,0.0001376669,1.84043e-7,0.00006490582,0.003514274,0.07594106,0.01691907],"study_design_scores_gemma":[0.0004064297,0.0002669932,0.9178416,0.00003734539,0.00005480159,0.000001317102,0.00001857906,0.0001633157,0.00009305594,0.01116449,0.06990878,0.00004332444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.648041,0.002611665,0.002294703,0.304496,0.0003570654,0.001348475,0.00004696399,0.00008740912,0.0407167],"genre_scores_gemma":[0.9719877,0.0004711061,0.001408744,0.008390132,0.0006439977,0.0000446431,0.0000381162,0.000009733616,0.01700586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3239467,"threshold_uncertainty_score":0.9046133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05595616919363502,"score_gpt":0.3648670196961236,"score_spread":0.3089108505024886,"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."}}