{"id":"W4389342337","doi":"10.29271/jcpsp.2023.01.111","title":"Barcode Medication Administration Technology to Prevent Medication Errors","year":2023,"lang":"en","type":"article","venue":"Journal of College of Physicians And Surgeons Pakistan","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Barcode; Medication error; Administration (probate law); Medicine; Medical emergency; Computer science; Patient safety; Health care; Operating system; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.001192394,0.0001070684,0.0003500975,0.0005990324,0.0002648683,6.95667e-7,0.0001706168,0.0001497214,0.00006626418],"category_scores_gemma":[0.0004009936,0.00009464303,0.00007313278,0.0009907599,0.0001164034,0.0001226971,0.00003843699,0.0003083747,0.00002269666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008248651,"about_ca_system_score_gemma":0.0006397323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001179371,"about_ca_topic_score_gemma":0.0001146242,"domain_scores_codex":[0.9978663,0.0002037003,0.001047638,0.0001393642,0.0004937614,0.0002492893],"domain_scores_gemma":[0.997797,0.0003224859,0.001131863,0.0002026366,0.0003925327,0.0001534988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002256456,0.003778348,0.0981281,0.002204015,0.0009838713,0.0001837285,0.03919036,0.0005947252,0.07651685,0.2314045,0.4237922,0.1209668],"study_design_scores_gemma":[0.002500625,0.001687874,0.34708,0.002853377,0.000249424,0.0000290567,0.05647662,0.000768968,0.004279539,0.0108624,0.5727499,0.0004622431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9330825,0.0001080692,0.005169286,0.05836796,0.001033122,0.0006354603,0.0001876979,0.00005464037,0.001361223],"genre_scores_gemma":[0.9980316,0.000251594,0.0003694399,0.0003467553,0.0001078658,0.0000371575,0.00002731044,0.00001271504,0.0008155493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2489519,"threshold_uncertainty_score":0.3859431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778170082868222,"score_gpt":0.4041011667080764,"score_spread":0.3763194658793942,"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."}}