{"id":"W3152812602","doi":"10.1002/dmrr.3456","title":"Usefulness of cut‐off points of International criteria for prediction of post‐partum diabetes and prediabetes among Chinese women with gestational diabetes","year":2021,"lang":"en","type":"article","venue":"Diabetes/Metabolism Research and Reviews","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Cancer Centre; Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Prediabetes; Medicine; Gestational diabetes; Diabetes mellitus; Obstetrics; Pregnancy; Odds ratio; Confidence interval; Internal medicine; Endocrinology; Gestation; Type 2 diabetes","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003682146,0.0004994267,0.0004088592,0.001191881,0.0003430675,0.0008435707,0.0005782187,0.0006557917,0.0006992285],"category_scores_gemma":[0.009940482,0.0002525792,0.0007659632,0.000897932,0.0005030039,0.0004229578,0.0004653293,0.0005764537,0.0001100433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004791286,"about_ca_system_score_gemma":0.000878285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301257,"about_ca_topic_score_gemma":0.008359995,"domain_scores_codex":[0.9987387,0.0005902819,0.0001149214,0.0002346983,0.0001860289,0.000135464],"domain_scores_gemma":[0.9945767,0.002818971,0.001063321,0.0005702885,0.0004194209,0.0005512748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001908009,0.00001620453,0.9981674,0.000005616193,0.00004033976,0.00002534991,0.00005162664,0.00007503226,0.00007984987,0.00001709129,0.00002811902,0.001302494],"study_design_scores_gemma":[0.00001634284,0.0001227568,0.997438,0.00001216766,0.000091769,0.00009070902,0.0001748422,0.001821057,0.00009419571,0.00005743776,0.00007468541,0.000006230236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990864,0.0002361271,0.0001550754,0.00004556065,0.000009924647,0.000007271339,0.0001114891,0.000003916933,0.0003442839],"genre_scores_gemma":[0.9996493,0.00003719423,0.0001237707,0.00000779122,0.000004198441,0.000004835488,0.0001310432,9.356827e-7,0.00004098398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301257,"threshold_uncertainty_score":0.02587372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03605690138803618,"score_gpt":0.3326168309730123,"score_spread":0.2965599295849761,"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."}}