{"id":"W22681252","doi":"10.2174/138955712800959143","title":"国際患者安全目標(IPSG)の達成に向けて--医療安全管理室の取り組み (特集 患者安全と医療の質改善は\"医療の根幹\" JCI受審の決断から組織が変化するまでのプロセス--NTT東日本関東病院のチャレンジ)","year":2011,"lang":"en","type":"article","venue":"看護管理","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005639064,0.0004368736,0.0004080709,0.0004423464,0.0005829695,0.0009154197,0.000413606,0.0008654853,0.006992029],"category_scores_gemma":[0.0003462402,0.0002636196,0.0005656079,0.0003803638,0.0006722743,0.0006911166,0.0003985328,0.002137178,0.00451512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004927365,"about_ca_system_score_gemma":0.000371776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000333459,"about_ca_topic_score_gemma":0.0005871615,"domain_scores_codex":[0.9997304,0.00003401835,0.00002881937,0.00006639574,0.00009586012,0.00004452896],"domain_scores_gemma":[0.9998299,0.00005134549,0.00003045542,0.00003949441,0.00002085147,0.00002786953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000414422,0.0002514432,0.001064175,0.0009577678,0.00009821889,0.001483454,0.0003911967,0.001192985,0.8210396,0.035459,0.01461421,0.1230335],"study_design_scores_gemma":[0.00008381993,0.0004439117,0.002598509,0.0001371828,0.0001215152,0.002727561,0.0001472377,0.001369114,0.7580203,0.005527038,0.2287921,0.00003154779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4270284,0.07841285,0.1540125,0.006459402,0.007851077,0.001516139,0.007067426,0.002790981,0.3148613],"genre_scores_gemma":[0.7450225,0.04479729,0.08011426,0.003414568,0.001305807,0.00102044,0.006958784,0.0006737668,0.1166926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006992029,"threshold_uncertainty_score":0.02339071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660917238075516,"score_gpt":0.2113233417691742,"score_spread":0.184714169388419,"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."}}