{"id":"W4409315166","doi":"10.2196/70475","title":"Digital Decision Support for Perioperative Care of Patients With Type 2 Diabetes: A Call to Action","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Call to action; Type 2 diabetes; Perioperative; Action (physics); Medicine; Diabetes mellitus; Intensive care medicine; Computer science; Business; Surgery; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111033,0.0001243187,0.0002858309,0.0001251817,0.00004677923,0.00003191098,0.00005973446,0.00006186641,0.00005753604],"category_scores_gemma":[0.003029992,0.00009530902,0.00006403766,0.0002907643,0.00003256772,0.0002478459,0.0000453134,0.00008173018,0.00001472655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001035972,"about_ca_system_score_gemma":0.0002226451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002282797,"about_ca_topic_score_gemma":0.00001456337,"domain_scores_codex":[0.998847,0.00001527289,0.0004708711,0.000250828,0.0002253554,0.0001906493],"domain_scores_gemma":[0.9977813,0.0006905765,0.0001212991,0.0002145087,0.001086919,0.0001053742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008698892,0.0002423856,0.7681744,0.0002130378,0.00009495734,2.231008e-7,0.000387274,0.00001182524,0.001047199,0.000009743983,0.007502471,0.2214466],"study_design_scores_gemma":[0.006688027,0.007226746,0.8610762,0.0004879335,0.0003007743,6.765885e-8,0.001971163,0.0002454281,0.009494723,0.00003793294,0.1122262,0.0002448225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996243,0.00002182011,0.0004294041,0.0006378724,0.0001862577,0.001829569,0.0001483448,0.00002738137,0.0004763542],"genre_scores_gemma":[0.9939534,0.000001446176,0.003274267,0.001323399,0.00005188988,0.0001949765,0.0006713182,0.00001872144,0.0005105677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2212017,"threshold_uncertainty_score":0.3886589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05887844752253886,"score_gpt":0.442358533178456,"score_spread":0.3834800856559172,"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."}}