{"id":"W2261271744","doi":"10.24095/hpcdp.35.5.01","title":"Impact of pre-pregnancy diabetes mellitus on congenital anomalies, Canada, 2002–2012","year":2015,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; St. Michael's Hospital; Children's & Women's Health Centre of British Columbia; University of Calgary; Public Health Agency of Canada","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada; McGill University","keywords":"Medicine; Pregnancy; Odds ratio; Confidence interval; Population; Pediatrics; Obstetrics; Live birth; Gestational diabetes; Birth weight; Type 1 diabetes; Diabetes mellitus; Gestation; Internal medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0006467877,0.000444914,0.0003275952,0.00153802,0.001454244,0.00121436,0.001222145,0.0005187826,0.002226234],"category_scores_gemma":[0.00351521,0.0003454087,0.001012857,0.003804131,0.0004784359,0.000368031,0.0007955442,0.001184554,0.0001703192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03338684,"about_ca_system_score_gemma":0.05475289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963404,"about_ca_topic_score_gemma":0.9972383,"domain_scores_codex":[0.9986904,0.00007236741,0.00008694348,0.0001609859,0.0005658678,0.0004235172],"domain_scores_gemma":[0.9966981,0.0001390984,0.0007363379,0.00006911685,0.001687387,0.0006699485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008624002,0.00002718729,0.9896185,0.00009077299,0.0001280655,0.00009618759,0.0001159979,0.0002639324,0.00007968302,0.0001323809,0.002657665,0.006703389],"study_design_scores_gemma":[0.000006042236,0.00001285448,0.9978533,0.00006090953,0.00005125195,0.0001028396,0.0001719554,0.0002345853,0.00004263548,0.0000130544,0.001444518,0.000005914269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9033988,0.01369515,0.0003593367,0.004109797,0.000142898,0.0001073803,0.06845888,0.00007226231,0.009655442],"genre_scores_gemma":[0.9847852,0.004498523,0.0003751316,0.0003640365,0.0000381947,0.00002694857,0.008200283,0.0000125017,0.001699309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03338684,"threshold_uncertainty_score":0.2422396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224667902988175,"score_gpt":0.3370492015416076,"score_spread":0.3048025225117258,"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."}}