{"id":"W2897366092","doi":"10.5430/jnep.v9n2p61","title":"Reducing sitter use in acute medicine while maintaining safety and quality","year":2018,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Economic shortage; Medicine; Overtime; Harm; Intervention (counseling); Medical emergency; Nursing; Psychology; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002783304,0.0003255717,0.000396866,0.0005984982,0.001137266,0.0008753956,0.0009130681,0.0004486664,0.003117221],"category_scores_gemma":[0.01228209,0.0002015957,0.0004183133,0.0005463627,0.0004747771,0.0006075132,0.001589623,0.0007703078,0.0002395301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083594,"about_ca_system_score_gemma":0.004001323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138846,"about_ca_topic_score_gemma":0.003550817,"domain_scores_codex":[0.996227,0.001877204,0.000406234,0.0001947302,0.000821251,0.0004735219],"domain_scores_gemma":[0.9928523,0.00193744,0.002761487,0.0002578309,0.0006975185,0.001493452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002191278,0.04253444,0.5930407,0.001923451,0.0001474762,0.0004093475,0.00990947,0.0006072202,0.006820104,0.0003176001,0.00321602,0.3388829],"study_design_scores_gemma":[0.0003436181,0.02813557,0.9572237,0.0003622063,0.00009427022,0.0003307094,0.006930872,0.0006911762,0.002432613,0.0001411121,0.003278766,0.00003531727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974293,0.0001876724,0.0003387112,0.000446574,0.00001790259,0.0004196014,0.00003633944,0.00001829782,0.001105516],"genre_scores_gemma":[0.9945655,0.0003202319,0.003992451,0.0002269169,0.00003351164,0.0005016603,0.00005352981,0.000003194392,0.0003028742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003117221,"threshold_uncertainty_score":0.01471967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1374860392118369,"score_gpt":0.4731273992142252,"score_spread":0.3356413600023883,"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."}}