{"id":"W3194548443","doi":"10.1159/000517846","title":"Interactions between Prepregnancy Overweight and Passive Smoking for Macrosomia and Large for Gestational Age in Chinese Pregnant Women","year":2021,"lang":"en","type":"article","venue":"Obesity Facts","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute of General Medical Sciences","keywords":"Medicine; Overweight; Gestational diabetes; Body mass index; Passive smoking; Obstetrics; Odds ratio; Fetal macrosomia; Pregnancy; Gestation; Gynecology; Obesity; Internal medicine; Environmental health","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":[0.0001193153,0.00009996548,0.0001980308,0.00009168011,0.0001092292,0.00005129023,0.00003051295,0.00003561602,0.00004251114],"category_scores_gemma":[0.000506264,0.00009010614,0.00003486456,0.00008967495,0.00002568684,0.0001560535,0.00008745096,0.00009483004,0.000001297278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039631,"about_ca_system_score_gemma":0.00008180729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009230577,"about_ca_topic_score_gemma":0.0001611336,"domain_scores_codex":[0.9990817,0.0000244527,0.0001524118,0.0002767452,0.0001536797,0.0003110396],"domain_scores_gemma":[0.9991717,0.0004065293,0.0000441359,0.0001030256,0.0001246195,0.0001499901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001560214,0.0005062178,0.9647038,0.001789294,0.0002415369,0.00009273164,0.003017672,0.000006362165,0.001705662,0.002720753,0.0006869252,0.02437301],"study_design_scores_gemma":[0.00272984,0.0001355155,0.9827912,0.0003422718,0.00002686169,0.0000034812,0.0002788561,0.0002127874,0.0006035588,0.00567733,0.007104183,0.00009409557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952721,0.0002007686,0.002132861,0.0007790828,0.00003765637,0.0009359991,0.0003324618,0.00001256104,0.0002965087],"genre_scores_gemma":[0.9944619,0.0001275601,0.002037788,0.0001590795,0.00005049945,0.0003618106,0.0005752289,0.00001173788,0.002214373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02427892,"threshold_uncertainty_score":0.3674422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790910387728966,"score_gpt":0.3195068009618513,"score_spread":0.3015976970845616,"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."}}