{"id":"W2326955026","doi":"10.1177/1753495x14528487","title":"Clinical predictors for diabetes screening in the first year postpartum after gestational diabetes","year":2014,"lang":"en","type":"article","venue":"Obstetric Medicine","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre; Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; Canadian Diabetes Association","keywords":"Medicine; Gestational diabetes; Diabetes mellitus; Obstetrics; Pregnancy; Diabetes in pregnancy; Postpartum period; Outpatient clinic; Prenatal care; Gestation; Internal medicine; Population; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002055667,0.0001718401,0.0003809201,0.0003919783,0.00007958125,0.00002092082,0.0002079074,0.00007879351,0.0002279427],"category_scores_gemma":[0.008587396,0.0001069652,0.0001101892,0.0006063863,0.0002174839,0.00008021741,0.00004969893,0.0002730722,0.00003773758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000325835,"about_ca_system_score_gemma":0.0000416581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005290097,"about_ca_topic_score_gemma":0.000009134314,"domain_scores_codex":[0.9976246,0.0001397285,0.0005443772,0.0003419662,0.0008299498,0.0005193361],"domain_scores_gemma":[0.9940371,0.005133606,0.00009757301,0.0003246177,0.000199255,0.0002078742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007985345,0.0001414351,0.9619969,0.0003422836,0.00007495681,0.00000669353,0.0001639097,0.00001097317,0.000007808877,0.000688668,0.0277458,0.008740715],"study_design_scores_gemma":[0.003295089,0.001172006,0.8868946,0.0003156818,0.00008940821,4.391989e-7,0.0001806958,0.003056326,0.000007048087,0.0004422259,0.1044489,0.00009751515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566571,0.001048164,0.001158163,0.03513979,0.0005410657,0.001746628,0.00003103266,0.00004704451,0.003630982],"genre_scores_gemma":[0.9887508,0.000105021,0.001895556,0.007001691,0.0007540089,0.0004491937,0.0002685415,0.00002495086,0.0007502893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07670311,"threshold_uncertainty_score":0.9997637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027150833225301,"score_gpt":0.3177789689050503,"score_spread":0.2875074605727973,"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."}}