{"id":"W4398765567","doi":"10.1097/cin.0000000000001148","title":"Automated Dispensing Cabinets and Nursing Workarounds","year":2024,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Workaround; Nursing; Medicine; Psychology; Computer science; Operating system","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":[0.0005699888,0.0001829368,0.0002394889,0.000278669,0.001200697,0.0002694635,0.00008925007,0.0001935714,0.00001696356],"category_scores_gemma":[0.00005770961,0.0001721946,0.00003623252,0.0004526586,0.0001055118,0.000608628,0.00003110383,0.0005641661,0.00005857456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005017321,"about_ca_system_score_gemma":0.0003270904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002074678,"about_ca_topic_score_gemma":0.000006073806,"domain_scores_codex":[0.998208,0.0001546005,0.0008044061,0.0001623203,0.0001970124,0.0004735987],"domain_scores_gemma":[0.9990927,0.0002887726,0.00009266302,0.0002151015,0.0001334364,0.0001773127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002561626,0.00006815305,0.001074703,0.001544777,0.00005808573,0.00001545618,0.1960854,0.04935876,0.00006163668,0.02189509,0.03358506,0.6962273],"study_design_scores_gemma":[0.0002370681,0.00003285511,0.0007585566,0.009398895,0.00002394893,0.00002971075,0.00442703,0.9828627,0.000003825927,0.0003492878,0.001692375,0.0001837291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1921016,0.0006754632,0.7823917,0.004289994,0.006373778,0.0007504572,0.000007485895,0.001842437,0.0115671],"genre_scores_gemma":[0.847303,0.00006757576,0.1512633,0.0007617867,0.0003425018,0.000008715931,0.00007636901,0.00003622621,0.0001405669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.933504,"threshold_uncertainty_score":0.9234909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388471983047907,"score_gpt":0.4247845562228554,"score_spread":0.3808998363923763,"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."}}