{"id":"W7094646743","doi":"","title":"Impact of pre-pregnancy diabetes mellitus on congenital anomalies, Canada, 2002â2012","year":2015,"lang":"en","type":"article","venue":"PubMed Central","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diabetes mellitus; MEDLINE; Type 1 diabetes; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001571558,0.0001341658,0.0002169176,0.00007943851,0.000020261,0.00001386329,0.0001033951,0.00003350521,0.0001311815],"category_scores_gemma":[0.0003722683,0.0001054882,0.00008572255,0.0001329214,0.00005843089,0.00007971705,0.00003668751,0.000107634,0.000008492611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007734994,"about_ca_system_score_gemma":0.001183387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05165338,"about_ca_topic_score_gemma":0.01949786,"domain_scores_codex":[0.9977071,0.00004066715,0.0001920426,0.0001746171,0.0006318195,0.001253727],"domain_scores_gemma":[0.9983953,0.00005111096,0.00005553002,0.0002155627,0.0001316724,0.001150838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002874578,0.0004008356,0.9261345,0.0001344657,0.0005435537,0.00005343115,0.0001291203,0.0002312467,0.00008460795,0.0004062997,0.04674933,0.02484518],"study_design_scores_gemma":[0.001308825,0.0004089543,0.9942923,0.00004228803,0.00004460414,0.000001401522,0.00002988065,0.0001484681,0.0007755341,0.00005716591,0.002793944,0.00009664716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891992,0.002084697,0.000007379037,0.0003104614,0.0002359161,0.0007068624,0.0001754052,0.00001721814,0.007262919],"genre_scores_gemma":[0.9971617,0.0000609343,0.00006432126,0.00009292839,0.0001121796,0.0001004815,0.0001592369,0.0000145798,0.002233585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06815781,"threshold_uncertainty_score":0.9983938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288393900917772,"score_gpt":0.262199137976462,"score_spread":0.2393151989672843,"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."}}