{"id":"W2034278128","doi":"10.1111/dme.12087","title":"Can computerized clinical decision support systems improve diabetes management? A systematic review and meta‐analysis","year":2012,"lang":"en","type":"review","venue":"Diabetic Medicine","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; MEDLINE; Clinical decision support system; Randomized controlled trial; Data extraction; Clinical trial; Decision support system; Ambulatory; Intensive care medicine; Ambulatory care; Emergency medicine; Health care; Surgery; Internal medicine; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","metaepi_broad","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.02780351,0.001447144,0.03539748,0.00108203,0.0004813937,0.00002634188,0.001056389,0.001153845,0.001016355],"category_scores_gemma":[0.001197884,0.0008359922,0.002188507,0.002057171,0.0002516935,0.0000916126,0.0005405099,0.002346418,0.0005754672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005822054,"about_ca_system_score_gemma":0.0007320018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001901197,"about_ca_topic_score_gemma":0.0000480647,"domain_scores_codex":[0.9706503,0.0132563,0.01100674,0.001524384,0.00122977,0.002332561],"domain_scores_gemma":[0.9775792,0.01180329,0.005904213,0.00281955,0.0003840961,0.001509606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.000001547344,0.00004426415,0.00003000407,0.8753725,0.1087645,0.00001147115,0.00007309374,1.20027e-8,4.969885e-9,0.0002160898,0.002935446,0.01255106],"study_design_scores_gemma":[0.0004570094,0.0001553682,0.000002810503,0.2457169,0.546968,0.000005170497,0.00004638593,0.00002176228,8.475933e-10,0.00001221251,0.2062393,0.0003751014],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001207441,0.9673887,0.0003190834,0.0006596253,0.003119927,0.02738978,0.0001884628,0.0001960961,0.0007371355],"genre_scores_gemma":[0.00001737698,0.9780331,0.0002693987,0.003366308,0.00100684,0.01210207,0.0005684129,0.0001958991,0.004440586],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6296557,"threshold_uncertainty_score":0.9999552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1775761043749024,"score_gpt":0.5038260120093073,"score_spread":0.326249907634405,"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."}}