{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02287981,0.0006587408,0.0009709636,0.0009053244,0.0004997649,0.001282911,0.001726535,0.001108823,0.005599008],"category_scores_gemma":[0.07378331,0.0003803779,0.002329275,0.001350064,0.002371757,0.00160551,0.001283097,0.001777709,0.0001570342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007045866,"about_ca_system_score_gemma":0.001242905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005302051,"about_ca_topic_score_gemma":0.003049435,"domain_scores_codex":[0.9851887,0.009410459,0.0007628162,0.002736373,0.001394213,0.0005075242],"domain_scores_gemma":[0.9288288,0.05522853,0.009440388,0.004843662,0.00114893,0.0005096711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00296426,0.0001272993,0.9523922,0.0009011423,0.01030672,0.0006596576,0.0004689939,0.0006047727,0.0006009483,0.00495793,0.0006987436,0.02531746],"study_design_scores_gemma":[0.0006672163,0.001187973,0.9494505,0.0007729757,0.01244456,0.002153709,0.0004779234,0.003278304,0.001120146,0.0250118,0.003376915,0.00005792742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419304,0.02975006,0.01471758,0.006076668,0.0006084677,0.0001633577,0.002237133,0.00007015082,0.004446061],"genre_scores_gemma":[0.9939933,0.002404393,0.002027028,0.00069817,0.0002202962,0.00008172669,0.0003587377,0.00001937665,0.0001969943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02287981,"threshold_uncertainty_score":0.1210014,"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."}}