{"id":"W4416216249","doi":"10.2337/dsi25-0009","title":"Optimizing Automated Insulin Delivery Systems for Pregnancy","year":2025,"lang":"en","type":"article","venue":"Diabetes Spectrum","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pregnancy; Workaround; Diabetes mellitus; Diabetes in pregnancy; Insulin resistance; Insulin delivery; Insulin","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001500496,0.0001402808,0.0002674189,0.000295287,0.00010199,0.00006724678,0.0001140606,0.00005849019,0.00003211823],"category_scores_gemma":[0.000171807,0.0001294059,0.0001001825,0.0003247997,0.00003836256,0.00008128797,0.00006956796,0.00009945826,0.00004393298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369882,"about_ca_system_score_gemma":0.0001368863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001977635,"about_ca_topic_score_gemma":0.000002716436,"domain_scores_codex":[0.998714,0.00002822668,0.0002419271,0.0002781112,0.0002156981,0.0005220805],"domain_scores_gemma":[0.9993111,0.0001618905,0.00004651638,0.0002459109,0.0001214968,0.000113015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001095431,0.003763693,0.1681098,0.04242504,0.007527853,0.0002043559,0.0009323685,0.01676707,0.04309918,0.2725648,0.3638622,0.07964828],"study_design_scores_gemma":[0.008683887,0.001418459,0.1098625,0.005617375,0.0004495546,0.000001307138,0.0004065028,0.7740238,0.01977545,0.003757047,0.07537133,0.0006328017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872809,0.04518154,0.00473412,0.009112867,0.001494148,0.007809035,0.0001960808,0.0021551,0.04203623],"genre_scores_gemma":[0.9897819,0.0004705703,0.002246999,0.0004466703,0.00007078437,0.0005847116,0.0002173728,0.00002482683,0.00615619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7572567,"threshold_uncertainty_score":0.5277019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389463167025329,"score_gpt":0.2843406743095195,"score_spread":0.2704460426392662,"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."}}