{"id":"W4283166637","doi":"10.1038/s41598-022-14215-9","title":"Development and internal validation of a model to predict type 2 diabetic complications after gestational diabetes","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Montréal; Jewish General Hospital; McGill University; Institut National de Santé Publique du Québec","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Gestational diabetes; Diabetes mellitus; Type 2 diabetes; Confidence interval; Pregnancy; Type 1 diabetes; Internal medicine; Obstetrics; Gestation; 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":[0.01406305,0.001221696,0.001137082,0.001237752,0.0007593745,0.001733225,0.00172511,0.0007586227,0.00120924],"category_scores_gemma":[0.02198561,0.0004708545,0.001537639,0.0009697173,0.0004437915,0.0004990517,0.001192327,0.001693278,0.0003900639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003157299,"about_ca_system_score_gemma":0.00675141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.14705,"about_ca_topic_score_gemma":0.07241581,"domain_scores_codex":[0.9968451,0.00200879,0.0001621128,0.0004196014,0.0003277346,0.0002366695],"domain_scores_gemma":[0.9830999,0.01180378,0.0005569921,0.0004937512,0.003696774,0.0003487112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001029708,0.0007579866,0.43345,0.0001405919,0.001097547,0.0003909724,0.0004110247,0.5064703,0.001047375,0.001419243,0.005086048,0.04869911],"study_design_scores_gemma":[0.00009317233,0.0001645037,0.02105088,0.00004910436,0.0001066872,0.00003774374,0.00005664509,0.9770926,0.000361321,0.0004647257,0.0005001511,0.00002236842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9116175,0.0003892493,0.0797474,0.0008886673,0.000121043,0.0007692736,0.003051738,0.0006919552,0.002723152],"genre_scores_gemma":[0.9621591,0.0001401154,0.03361157,0.0001341908,0.00002096197,0.0003308071,0.002915178,0.00004808581,0.0006399908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.14705,"threshold_uncertainty_score":0.2923881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055407180079286,"score_gpt":0.2944812931652212,"score_spread":0.2639272213644284,"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."}}