{"id":"W4308518358","doi":"10.1007/s10995-022-03536-w","title":"Associations Between Rurality, pre-pregnancy Health Status, and Macrosomia in American Indian/Alaska Native Populations","year":2022,"lang":"en","type":"article","venue":"Maternal and Child Health Journal","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Agency for Healthcare Research and Quality; National Institutes of Health; Patient-Centered Outcomes Research Institute","keywords":"Medicine; Body mass index; Pregnancy; Overweight; Gestational diabetes; Rurality; Prenatal care; Obesity; Public health; Demography; Obstetrics; Odds; Gerontology; Environmental health; Population; Gestation; Logistic regression; Rural area; Internal medicine; Nursing","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":[0.000338925,0.0001816452,0.0001402976,0.0005323094,0.0006241484,0.0005577844,0.0002697539,0.0002511576,0.002023019],"category_scores_gemma":[0.001063233,0.0001916295,0.0002699217,0.0005872026,0.0003194764,0.0002789148,0.0004015252,0.0004683055,0.0001182464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890082,"about_ca_system_score_gemma":0.0002868366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05030629,"about_ca_topic_score_gemma":0.05322613,"domain_scores_codex":[0.9998092,0.00006575017,0.00001891118,0.00003955832,0.00002097757,0.00004557248],"domain_scores_gemma":[0.999376,0.0001146715,0.0002005558,0.00004146121,0.00005579663,0.0002116566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009830044,0.00004591541,0.9983314,0.000005359153,0.00005398989,0.00007083495,0.0003078915,0.00002585731,0.0001819813,0.00002816274,0.00005541277,0.0007948778],"study_design_scores_gemma":[0.000002368573,0.00005153081,0.9984157,0.000003743489,0.0000206039,0.00009326717,0.001190307,0.00008878567,0.00001974806,0.00003043204,0.00008103378,0.000002460625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993901,0.00007232942,0.0000174224,0.00002705824,0.000003060292,0.000001444965,0.00008865874,0.000001056425,0.0003988552],"genre_scores_gemma":[0.9997184,0.00004611534,0.00001739292,0.00001405103,0.000004231222,0.000001819358,0.00004653371,5.998574e-7,0.0001508344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05030629,"threshold_uncertainty_score":0.100027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736878108662895,"score_gpt":0.3651892941951224,"score_spread":0.3378205131084934,"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."}}