{"id":"W2080693113","doi":"10.4212/cjhp.v62i6.852","title":"Do Automated Dispensing Machines Improve Patient Safety?","year":2009,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's & Women's Health Centre of British Columbia; University Health Network","funders":"","keywords":"Patient safety; Computer science; Medical emergency; Medicine; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008975193,0.0003804762,0.0005373056,0.001338661,0.001090472,0.003936746,0.00130526,0.00315056,0.02079522],"category_scores_gemma":[0.1032108,0.0003659345,0.001072204,0.002594331,0.001340369,0.005104156,0.0008366597,0.001682713,0.002296446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003652905,"about_ca_system_score_gemma":0.008005534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02423852,"about_ca_topic_score_gemma":0.04655945,"domain_scores_codex":[0.9885644,0.005102046,0.000709505,0.0007494335,0.003956133,0.0009184782],"domain_scores_gemma":[0.9063151,0.0499731,0.02128641,0.003241495,0.01645629,0.00272763],"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":[0.002489951,0.002506501,0.4293422,0.001193613,0.0005256908,0.0001844597,0.001213339,0.0008796239,0.0005530592,0.00525115,0.04401255,0.5118479],"study_design_scores_gemma":[0.001067343,0.002275942,0.9276828,0.001508027,0.001042278,0.0004385928,0.003161719,0.00501195,0.001630059,0.009956626,0.04612177,0.0001029106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6193511,0.02198551,0.002388674,0.2707589,0.003864793,0.0001794784,0.002657906,0.0003783409,0.07843523],"genre_scores_gemma":[0.9788808,0.004677152,0.001678225,0.009899127,0.001661931,0.00002717227,0.0003081846,0.00003112246,0.00283636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02423852,"threshold_uncertainty_score":0.06956697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644722441893115,"score_gpt":0.3919647334964823,"score_spread":0.3655175090775512,"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."}}