{"id":"W346453609","doi":"","title":"Individualized electronic decision support and reminders can improve diabetes care in the community.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Diabetes Management and Education","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Family medicine; Medical record; Intervention (counseling); Diabetes mellitus; Electronic medical record; MEDLINE; Medical emergency; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002505194,0.0002300636,0.0003780888,0.0004671784,0.0004523342,0.0008205805,0.0004515738,0.0006909915,0.0128738],"category_scores_gemma":[0.01446565,0.0001447532,0.0004381041,0.000623645,0.0002475449,0.0007687701,0.0008655289,0.0005311242,0.0008486164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008500464,"about_ca_system_score_gemma":0.002362108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141567,"about_ca_topic_score_gemma":0.02925473,"domain_scores_codex":[0.998487,0.0007439535,0.0001161078,0.0001354803,0.0004176326,0.00009983982],"domain_scores_gemma":[0.9970936,0.001243957,0.0006965745,0.0002211031,0.0002185098,0.0005263829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.003019811,0.004088396,0.03244491,0.001576497,0.0002605116,0.00008727676,0.0005467772,0.0003885835,0.0006688886,0.0004101727,0.02352893,0.9329792],"study_design_scores_gemma":[0.02295093,0.01959972,0.7409317,0.006452797,0.00237592,0.0008012401,0.001845259,0.005552683,0.002128621,0.006184967,0.1909801,0.0001960655],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8728957,0.02237392,0.005510631,0.02993545,0.001195261,0.002679747,0.002753317,0.001050476,0.06160541],"genre_scores_gemma":[0.9564485,0.009239457,0.01910975,0.005921827,0.0005635503,0.00089126,0.001127547,0.00002998497,0.0066681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0128738,"threshold_uncertainty_score":0.04306716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438618888352831,"score_gpt":0.2501491663014224,"score_spread":0.235762977417894,"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."}}