{"id":"W2544608439","doi":"10.4212/cjhp.v69i5.1594","title":"Bar Code Medication Administration Technology: A Systematic Review of Impact on Patient Safety When Used with Computerized Prescriber Order Entry and Automated Dispensing Devices","year":2016,"lang":"en","type":"review","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Providence Health Care; University of British Columbia; Fraser Health","funders":"","keywords":"Order entry; Medicine; Patient safety; Code (set theory); Order (exchange); Bar (unit); Medical emergency; Medical physics; Computer science; Programming language; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002447033,0.0004506176,0.002703062,0.0003952001,0.0004733782,0.00002646853,0.0005182341,0.0002294064,0.0001577651],"category_scores_gemma":[0.000581877,0.0002095015,0.0001981989,0.0003757418,0.0001725953,0.0001788427,0.00003281774,0.001197717,0.00002362688],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656299,"about_ca_system_score_gemma":0.01660233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001481804,"about_ca_topic_score_gemma":0.004868599,"domain_scores_codex":[0.9932476,0.00239632,0.002961275,0.0002494418,0.0005101394,0.000635264],"domain_scores_gemma":[0.9913919,0.0009516528,0.005778493,0.0004857647,0.000766363,0.0006258124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007389927,0.00004423154,0.0001999377,0.9615819,0.001000199,0.00006132082,0.001041954,3.545377e-7,3.838193e-7,0.0001044553,0.004699445,0.03119186],"study_design_scores_gemma":[0.0008395268,0.000946074,0.00002397867,0.8890221,0.001328507,0.0002593462,0.00008114955,0.00004647012,5.970789e-7,0.00001683911,0.1072053,0.0002300877],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008524461,0.9865551,0.00004320952,0.0049266,0.000614935,0.006683916,0.000186034,0.00004090793,0.00009683682],"genre_scores_gemma":[0.01844536,0.98053,0.0001016438,0.0004561343,0.000182657,0.0001338696,0.00003995184,0.00007458785,0.00003584785],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1025059,"threshold_uncertainty_score":0.9889726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04029220136034916,"score_gpt":0.4235762698426084,"score_spread":0.3832840684822592,"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."}}