{"id":"W7096739886","doi":"","title":"OBSTETRICS The Effect of Gestational Weight Gain by Body Mass Index on Maternal and Neonatal Outcomes","year":2014,"lang":"en","type":"article","venue":"","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weight gain; Body mass index; Gestation; Logistic regression; Singleton; Gestational age; Pregnancy; Birth weight; Mass index","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001170135,0.0002308749,0.00022527,0.0004086786,0.0001550449,0.0003748774,0.0002652758,0.0002666243,0.00105845],"category_scores_gemma":[0.006015855,0.0001270917,0.000414187,0.0004649639,0.0003562976,0.0002562941,0.0002922428,0.000479798,0.00009462598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005621856,"about_ca_system_score_gemma":0.0004837403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009068418,"about_ca_topic_score_gemma":0.01329663,"domain_scores_codex":[0.9992036,0.0003329795,0.00004547526,0.00009682136,0.0001789401,0.0001422056],"domain_scores_gemma":[0.9968747,0.001314976,0.001282903,0.0001536097,0.0001204633,0.0002532597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001019848,0.00003390889,0.995496,0.00001008698,0.0001389444,0.00004011758,0.00001561223,0.00005313054,0.0002181266,0.00001055217,0.00005293991,0.002910626],"study_design_scores_gemma":[0.000008622664,0.0001743396,0.9994491,0.000005188057,0.00005273521,0.00007836374,0.00001833429,0.00008735649,0.00005753738,0.0000102033,0.00005715287,0.000001023235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983768,0.0008979976,0.00005814401,0.0001317711,0.000008446887,0.000003195216,0.000147348,0.000002231189,0.0003739022],"genre_scores_gemma":[0.9994824,0.0002157492,0.00005640717,0.0000292808,0.00001259323,0.000002745502,0.00009544786,0.000001170682,0.000104129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009068418,"threshold_uncertainty_score":0.0180313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005198010843110662,"score_gpt":0.2590126128451881,"score_spread":0.2538146020020774,"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."}}