{"id":"W2586529552","doi":"10.1097/ede.0000000000000629","title":"Patterns of Gestational Weight Gain in Early Pregnancy and Risk of Gestational Diabetes Mellitus","year":2017,"lang":"en","type":"article","venue":"Epidemiology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research","keywords":"Weight gain; Gestational diabetes; Medicine; Obstetrics; Body mass index; Pregnancy; Odds ratio; Overweight; Confidence interval; Gestational age; Gestation; Internal medicine; Body weight","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006294232,0.0001904498,0.0001618236,0.0006232187,0.0001851034,0.0004214059,0.0003395455,0.0002566991,0.0006765047],"category_scores_gemma":[0.003685877,0.0001689373,0.0001949382,0.001167035,0.0002175102,0.0002523563,0.0003972673,0.0005420382,0.00009868666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004680692,"about_ca_system_score_gemma":0.0003854471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01511822,"about_ca_topic_score_gemma":0.01329349,"domain_scores_codex":[0.9996713,0.0000949721,0.00003756798,0.00007495893,0.00007269191,0.0000485588],"domain_scores_gemma":[0.9980636,0.0003382425,0.00110285,0.0001309447,0.0001388211,0.0002255064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004025554,0.00000591315,0.998325,0.000004624681,0.00001755142,0.00002729419,0.00002795851,0.000070391,0.00008944933,0.00002056179,0.00003170702,0.001339286],"study_design_scores_gemma":[0.00000137414,0.00002365213,0.9994492,0.000007162477,0.000006869633,0.0001254324,0.00003336744,0.0001884868,0.0000348198,0.00004299606,0.0000853027,0.000001421879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998224,0.000495463,0.0002689579,0.0001458414,0.000006351874,0.000007192429,0.0005110781,0.000007768989,0.0003334118],"genre_scores_gemma":[0.9989883,0.0003055563,0.0003134243,0.00001609954,0.000004785914,0.000006755686,0.0002811716,0.000002206166,0.00008172764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01511822,"threshold_uncertainty_score":0.03006041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04082680156369446,"score_gpt":0.3384851150770852,"score_spread":0.2976583135133908,"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."}}