{"id":"W2028966355","doi":"10.1097/01.nurse.0000444547.64972.dc","title":"Independent double-checks for high-alert medications","year":2014,"lang":"en","type":"article","venue":"Nursing","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôtel-Dieu Grace Healthcare","funders":"","keywords":"Medicine; Computer 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":[0.0008213877,0.00009266895,0.0001631974,0.00008933043,0.0007747745,0.000001096746,0.0001584625,0.0001949879,0.0002452936],"category_scores_gemma":[0.0002841952,0.00008557631,0.00004060984,0.0001172121,0.0000773941,0.0000695222,0.00001392878,0.0003076946,0.0002543127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584137,"about_ca_system_score_gemma":0.0001644375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000298472,"about_ca_topic_score_gemma":0.00002279209,"domain_scores_codex":[0.9986309,0.0001507722,0.000380002,0.0002161335,0.0002624453,0.0003597866],"domain_scores_gemma":[0.9986729,0.0004601585,0.0002463013,0.0003031032,0.0001276581,0.0001898568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005439777,0.0006646793,0.01845011,0.00053668,0.00009775619,3.539601e-7,0.0327539,0.0002767974,0.001538181,0.6557192,0.1603571,0.1290613],"study_design_scores_gemma":[0.007988869,0.0001958105,0.09332723,0.001517255,0.0001567728,0.000001829844,0.003343298,0.003278108,0.0005001113,0.02146618,0.8678443,0.0003802465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0445432,0.00006129703,0.8185813,0.05118781,0.00554993,0.001557693,0.00001512194,0.0002789664,0.07822467],"genre_scores_gemma":[0.9911327,0.000006237044,0.002721799,0.002204162,0.000711777,0.0003183632,0.0001442153,0.00002064864,0.002740122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9465895,"threshold_uncertainty_score":0.5959017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.096980112288953,"score_gpt":0.4532384727804292,"score_spread":0.3562583604914762,"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."}}