{"id":"W2743025101","doi":"10.1111/dme.13441","title":"Effect of multiparity and ethnicity on the risk of development of diabetes: a large population‐based cohort study","year":2017,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Women's College Hospital; University of Toronto","funders":"Institute for Clinical Evaluative Sciences; Canadian Diabetes Association","keywords":"Medicine; Hazard ratio; Diabetes mellitus; Parity (physics); Obstetrics; Population; Incidence (geometry); Cohort study; Proportional hazards model; Confounding; Cohort; Demography; Retrospective cohort study; Confidence interval; Internal medicine; Environmental health; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001029774,0.0003558594,0.0003713536,0.0005730996,0.0007449872,0.000748835,0.0004967419,0.0004592588,0.001339513],"category_scores_gemma":[0.00196645,0.0004758099,0.0007315853,0.0009582617,0.000299116,0.0004565582,0.0005601689,0.0006489021,0.0002006545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004913803,"about_ca_system_score_gemma":0.0007034463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0391924,"about_ca_topic_score_gemma":0.05627752,"domain_scores_codex":[0.9995072,0.0001119403,0.00004224376,0.0001295253,0.0001198906,0.00008922755],"domain_scores_gemma":[0.998602,0.0001471383,0.000509207,0.0002528891,0.0001887123,0.0003001151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009730578,0.0000179724,0.9990608,0.000004931162,0.0001158196,0.00006269479,0.00005138737,0.000008973795,0.0001472595,0.000006834682,0.00006524781,0.0003608366],"study_design_scores_gemma":[0.000007785415,0.00003612664,0.9996077,0.000004289043,0.00003943818,0.0001002458,0.00005162088,0.00004234228,0.00001239562,0.000006229734,0.00008953727,0.000002355883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998422,0.0003419234,0.00009879857,0.00007396652,0.000007630715,0.00001384152,0.0007203444,0.000003488312,0.0003180222],"genre_scores_gemma":[0.9989412,0.0002380977,0.0001287092,0.00003965268,0.00001210612,0.00001309792,0.0004398647,0.000003172954,0.0001839681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0391924,"threshold_uncertainty_score":0.07792854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579002977172368,"score_gpt":0.3427344938204234,"score_spread":0.3169444640486997,"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."}}