{"id":"W2253293609","doi":"10.2147/cia.s94126","title":"Physicians’ use of computerized clinical decision supports to improve medication management in the elderly – the Seniors Medication Alert and Review Technology intervention","year":2016,"lang":"en","type":"article","venue":"Clinical Interventions in Aging","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Alberta Health; University of Alberta Hospital; University of Alberta","funders":"Alberta Health Services","keywords":"Medicine; Intervention (counseling); Medical emergency; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.02240269,0.0002085558,0.0007862843,0.000421813,0.0002101207,0.00001527751,0.0007064207,0.0003259565,0.0001125096],"category_scores_gemma":[0.005323805,0.0001202273,0.0003966199,0.0008279039,0.0003410222,0.000201574,0.0004483356,0.001164846,0.0001132408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481862,"about_ca_system_score_gemma":0.0001210542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002410799,"about_ca_topic_score_gemma":0.002798128,"domain_scores_codex":[0.9881359,0.004799123,0.005398612,0.0006892454,0.000424299,0.0005528079],"domain_scores_gemma":[0.989935,0.006867299,0.001593396,0.00127401,0.0002117948,0.000118507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006789491,0.0004902252,0.06961608,0.001563398,0.0000591684,0.00000225336,0.0003269245,2.81983e-7,0.00001469211,0.001173072,0.01136803,0.915318],"study_design_scores_gemma":[0.006298019,0.001399172,0.4336385,0.1488488,0.0002828674,0.00001642157,0.001400344,0.0002525005,0.000004823423,0.008026931,0.3993869,0.0004447119],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7524748,0.002898405,0.1509856,0.08407713,0.003396427,0.005949643,0.00001886184,0.00009681778,0.0001023182],"genre_scores_gemma":[0.9644055,0.01816145,0.008404858,0.0055663,0.0003971284,0.001801453,0.00005671637,0.00004920177,0.001157418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9148732,"threshold_uncertainty_score":0.7764372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1881600218819619,"score_gpt":0.5635890348733051,"score_spread":0.3754290129913432,"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."}}