{"id":"W2135630160","doi":"10.1016/j.outlook.2006.01.003","title":"Reporting near-miss events in nursing homes","year":2006,"lang":"en","type":"article","venue":"Nursing Outlook","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital","funders":"Agency for Healthcare Research and Quality","keywords":"Nursing; Near miss; Patient safety; Medicine; Nursing homes; MEDLINE; Health care; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001606718,0.000242475,0.0002164338,0.001843209,0.00106973,0.0009034782,0.0005514078,0.0007795696,0.003783892],"category_scores_gemma":[0.01149682,0.0002133445,0.0003531972,0.001166961,0.0002215194,0.001243137,0.001221195,0.0008013246,0.0006276841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008154138,"about_ca_system_score_gemma":0.000967273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043557,"about_ca_topic_score_gemma":0.03105242,"domain_scores_codex":[0.9987024,0.0003277546,0.0002746713,0.0001033447,0.0003234419,0.0002683986],"domain_scores_gemma":[0.9886671,0.00130345,0.005765116,0.0002324949,0.002238063,0.001793752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000704725,0.00003615435,0.9953402,0.00001395773,0.000008248523,0.0001669372,0.0003800655,0.00003098338,0.00004851275,0.00001661094,0.000888376,0.002999525],"study_design_scores_gemma":[0.000003192004,0.0001324971,0.9943416,0.000032024,0.00001259376,0.0003950424,0.004188267,0.0001897715,0.00008325245,0.00004760217,0.0005636823,0.00001038368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958307,0.0002561836,0.00008043696,0.0004231803,0.00006210603,0.00001469541,0.0008188261,0.00001499273,0.002498847],"genre_scores_gemma":[0.9984366,0.0002244135,0.00009586095,0.0001255846,0.00004082971,0.000006851196,0.0005599597,0.000002840494,0.0005070358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02043557,"threshold_uncertainty_score":0.04063326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06579919289690202,"score_gpt":0.4615706941917068,"score_spread":0.3957715012948048,"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."}}