{"id":"W4407406233","doi":"10.1186/s12911-025-02881-4","title":"Analytical validation of Exandra: a clinical decision support system for promoting guideline-directed therapy of type-2 diabetes in primary care – a collaborative study with experts from Diabetes Canada","year":2025,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Diabetes Canada; University of Toronto; Sunnybrook Health Science Centre","funders":"Diabetes Canada","keywords":"Guideline; Medicine; Health informatics; Clinical decision support system; Test (biology); Type 2 diabetes; Clinical Practice; Family medicine; Decision support system; Diabetes mellitus; Nursing; Computer science; Data mining; Public health; Pathology","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":[0.1752523,0.0009833055,0.001431743,0.003082295,0.003549536,0.004590877,0.003387451,0.001654594,0.001576051],"category_scores_gemma":[0.2992327,0.0008807388,0.001282753,0.00218957,0.001907272,0.001939449,0.004204695,0.001893373,0.0003896263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01267261,"about_ca_system_score_gemma":0.04153823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1230774,"about_ca_topic_score_gemma":0.1795978,"domain_scores_codex":[0.9006241,0.07056618,0.009804836,0.005461399,0.0116518,0.001891779],"domain_scores_gemma":[0.3951502,0.4255832,0.01531427,0.02791755,0.1291091,0.006925796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009906972,0.01268476,0.3093265,0.008255827,0.001927692,0.002808707,0.120597,0.02916187,0.009769721,0.00292926,0.04227149,0.4503602],"study_design_scores_gemma":[0.01317019,0.01420296,0.3545949,0.01040522,0.003920159,0.002465802,0.09252629,0.292096,0.03087941,0.005679876,0.1780845,0.001974677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938778,0.001225063,0.02861786,0.003147355,0.000174211,0.01637105,0.003685349,0.00123427,0.006766712],"genre_scores_gemma":[0.8173484,0.0006675053,0.1691911,0.001144198,0.00008371797,0.005524751,0.004586264,0.0001805759,0.001273472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1752523,"threshold_uncertainty_score":0.9268339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514849899013607,"score_gpt":0.3485059841574496,"score_spread":0.3233574851673136,"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."}}