{"id":"W2927325096","doi":"10.1111/ggi.13659","title":"Medicine optimization strategy in an acute geriatric unit: The pharmacist in the geriatric team","year":2019,"lang":"en","type":"article","venue":"Geriatrics and gerontology international/Geriatrics & gerontology international","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health","funders":"","keywords":"Polypharmacy; Medicine; Pharmacist; Medical prescription; Geriatrics; Psychological intervention; Intervention (counseling); Clinical pharmacy; Emergency medicine; Deprescribing; Prospective cohort study; Beers Criteria; Intensive care medicine; Internal medicine; Family medicine; Pharmacy; Psychiatry; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002140946,0.000592741,0.000872053,0.001268583,0.0001973177,0.0001819019,0.001413419,0.0005044575,0.001758836],"category_scores_gemma":[0.0004755505,0.00040632,0.0001851319,0.001157781,0.0003316613,0.0008881742,0.0002597584,0.00129909,0.00007850127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003392763,"about_ca_system_score_gemma":0.0002502064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005506711,"about_ca_topic_score_gemma":0.0005014121,"domain_scores_codex":[0.994853,0.0007222029,0.001566219,0.001038863,0.001013777,0.0008058998],"domain_scores_gemma":[0.9964461,0.001342538,0.0008029533,0.0006799572,0.0005082756,0.0002202236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003906643,0.001569815,0.9563468,0.00009655576,0.0008111923,0.0004876169,0.003510686,0.007707451,0.0005628751,0.01289776,0.004566344,0.007536266],"study_design_scores_gemma":[0.0264508,0.002286866,0.6539292,0.00006188852,0.001138499,0.003265556,0.004218784,0.2302626,0.00002435621,0.002106369,0.07489197,0.001363083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309497,0.002478773,0.001402277,0.03220218,0.006856734,0.002085097,0.0000952019,0.00008848654,0.02384159],"genre_scores_gemma":[0.9870996,0.004670987,0.0007426149,0.004425324,0.001196422,0.0001800759,0.0005304543,0.00005384801,0.001100689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3024176,"threshold_uncertainty_score":0.9998389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1078828215406443,"score_gpt":0.4181882447718079,"score_spread":0.3103054232311636,"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."}}