{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03200137,0.003179319,0.0241459,0.008876354,0.0007314455,0.004474831,0.002625221,0.003424984,0.005211382],"category_scores_gemma":[0.08022238,0.001994531,0.03079945,0.008597256,0.001226398,0.002999077,0.001649835,0.001955209,0.0004562126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004443779,"about_ca_system_score_gemma":0.005688069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005609499,"about_ca_topic_score_gemma":0.009682905,"domain_scores_codex":[0.9679188,0.01901951,0.008058512,0.00198271,0.002510612,0.0005098348],"domain_scores_gemma":[0.9515641,0.03648555,0.008014936,0.001258545,0.002279613,0.0003973302],"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":[0.002711565,0.00005309288,0.001971463,0.5440018,0.4345774,0.00007844382,0.00008154805,0.0003856371,0.0001261669,0.0001838519,0.0004804978,0.01534847],"study_design_scores_gemma":[0.003320026,0.0006798271,0.002344379,0.08584036,0.904968,0.00009984138,0.00006130552,0.0003394534,0.0001503415,0.0003414577,0.001820871,0.00003409251],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003687743,0.9934226,0.0007558118,0.0003358773,0.0002520049,0.001036558,0.0002365753,0.0000292455,0.0002436255],"genre_scores_gemma":[0.1579803,0.8262585,0.006343746,0.001716697,0.000572098,0.006090176,0.0006034434,0.00003619359,0.0003988763],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03200137,"threshold_uncertainty_score":0.1692414,"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."}}