{"id":"W2891007082","doi":"10.1177/1363459318800155","title":"Nurses’ knowledge and deliberations crucial to Barcoded Medication Administration technology in a Dutch hospital: Discovering nurses’ agency inside ruling","year":2018,"lang":"en","type":"article","venue":"Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Negotiation; Agency (philosophy); Participant observation; Nursing; Patient safety; Medicine; Sociology; Psychology; Knowledge management; Computer science; Political science; Health care; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003335662,0.0001922032,0.0006408641,0.0004194765,0.01207232,0.000003380207,0.000213285,0.0001417849,0.00002325703],"category_scores_gemma":[0.0004494118,0.0001371711,0.00003203545,0.0004884454,0.0003896392,0.0002008558,0.000161371,0.0006595803,0.000001487275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002977863,"about_ca_system_score_gemma":0.00115723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005069638,"about_ca_topic_score_gemma":0.007978353,"domain_scores_codex":[0.9964334,0.0006547725,0.001697715,0.0003317955,0.0003123598,0.0005699353],"domain_scores_gemma":[0.997615,0.0003446588,0.001088231,0.0001842515,0.0003354451,0.0004323492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004728028,0.0007180985,0.009252734,0.0003403062,0.00002851784,0.000001058,0.8309344,0.000004045842,0.00001424063,0.001708622,0.001449104,0.1550761],"study_design_scores_gemma":[0.003896733,0.0126403,0.2478674,0.001549044,0.00004200761,0.00001508003,0.7240803,0.0004836217,0.000002591069,0.005027507,0.004216748,0.0001786817],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8334438,0.001054837,0.007853461,0.1505086,0.003744214,0.003285951,0.00001467971,0.00002705993,0.00006735824],"genre_scores_gemma":[0.996692,0.0003615871,0.0001452013,0.0009001273,0.001316161,0.0004692909,0.00002002663,0.00002346946,0.00007211688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2386147,"threshold_uncertainty_score":0.9892138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07463993079936042,"score_gpt":0.5302844549213708,"score_spread":0.4556445241220103,"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."}}