{"id":"W4390723687","doi":"","title":"Utilization of computerized clinical decision support for potentially inappropriate medications","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decision support system; Clinical decision support system; Clinical decision making; Computer science; Medical emergency; Medicine; Intensive care medicine; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004925756,0.0004286456,0.0005456132,0.003132938,0.0004825985,0.002015125,0.0009735479,0.0007457361,0.005976485],"category_scores_gemma":[0.06352464,0.0002972769,0.0007665656,0.00268554,0.0002047822,0.001411813,0.001255946,0.0008704641,0.001199809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610935,"about_ca_system_score_gemma":0.00269516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008183474,"about_ca_topic_score_gemma":0.007604639,"domain_scores_codex":[0.9863811,0.00537253,0.002963717,0.001674717,0.003237877,0.0003700451],"domain_scores_gemma":[0.9158004,0.05629243,0.01673981,0.002961134,0.005817362,0.002388968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002477788,0.00121933,0.5500594,0.001031593,0.0006086692,0.0003368465,0.0008136482,0.002915354,0.0004093132,0.0004574764,0.02174707,0.4179235],"study_design_scores_gemma":[0.001129383,0.00260466,0.8828434,0.002871799,0.0008732716,0.002280257,0.001292172,0.07112806,0.003015271,0.002011739,0.02965931,0.0002907763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445555,0.006928847,0.004549669,0.007587841,0.0003983901,0.0009136053,0.01258606,0.0009876376,0.02149241],"genre_scores_gemma":[0.9844244,0.001935404,0.006467305,0.00109359,0.000291395,0.0003016676,0.004224723,0.00004064664,0.001220918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008183474,"threshold_uncertainty_score":0.02605021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5641549322590218,"score_gpt":0.6653668937276256,"score_spread":0.1012119614686038,"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."}}