{"id":"W2128655458","doi":"10.1016/j.jcjd.2015.05.008","title":"The Usefulness of the Canadian Diabetes Risk Assessment Questionnaire (CANRISK) in Predicting Dysglycemia in Women with Histories of Gestational Diabetes","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Medicine; Gestational diabetes; Type 2 diabetes; Diabetes mellitus; Obstetrics; Population; Glucose tolerance test; Pregnancy; Cohort study; Gestation; Internal medicine; Environmental health; Insulin resistance; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003233591,0.0007087556,0.0006184307,0.001492097,0.0007224755,0.001114487,0.001184863,0.001141056,0.001105808],"category_scores_gemma":[0.01821238,0.0004931366,0.0008197016,0.001736604,0.000550888,0.0007413657,0.0007207117,0.001579763,0.0001970084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270499,"about_ca_system_score_gemma":0.003313133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3020522,"about_ca_topic_score_gemma":0.3593686,"domain_scores_codex":[0.9982554,0.0005518804,0.0001727085,0.000165396,0.0006291175,0.0002254738],"domain_scores_gemma":[0.9934356,0.003396478,0.001140436,0.0002412719,0.001104899,0.0006812962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002882166,0.00006764802,0.9945258,0.00002350175,0.0001004858,0.00005389797,0.00009552592,0.0001237913,0.00003629259,0.00003868226,0.0004067579,0.004239317],"study_design_scores_gemma":[0.00004278609,0.0001202308,0.9970767,0.00005093074,0.0001541219,0.0001273557,0.0002576503,0.001526956,0.00005172168,0.000091134,0.0004814294,0.00001890098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880305,0.002969368,0.0002892542,0.001115306,0.0001351915,0.00007040947,0.001778976,0.00001830662,0.005592664],"genre_scores_gemma":[0.9960541,0.001072493,0.0009184185,0.0002602013,0.0000745217,0.00003237926,0.001034982,0.000005178507,0.0005477858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6979478,"threshold_uncertainty_score":0.6005881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440633064235592,"score_gpt":0.2416649335772686,"score_spread":0.2272586029349127,"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."}}