{"id":"W2354130901","doi":"","title":"Descriptive Analysis on ICU Medical Risk Management in United Kingdom,United States,Australia,Canada and Taiwan","year":2011,"lang":"en","type":"article","venue":"Zhongguo xunzheng yixue zazhi","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Guideline; Risk management; Scope (computer science); Medicine; China; Business; Family medicine; Medical emergency; Political science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002211177,0.0003133003,0.0009677911,0.0140011,0.0006891849,0.00118632,0.0005941101,0.0003519863,0.003344191],"category_scores_gemma":[0.01702646,0.000212824,0.00173683,0.02375123,0.000469343,0.0009947929,0.0007649594,0.0003598568,0.0001710761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005320224,"about_ca_system_score_gemma":0.0094262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2267652,"about_ca_topic_score_gemma":0.2229447,"domain_scores_codex":[0.9959973,0.0004331603,0.001808279,0.0003145898,0.001136563,0.000310147],"domain_scores_gemma":[0.984479,0.005762537,0.005330817,0.0002822071,0.00374658,0.0003989054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004293679,0.00005663995,0.9405204,0.01429021,0.001175201,0.0009113931,0.003646847,0.000238474,0.0001985516,0.001347913,0.005894233,0.03129076],"study_design_scores_gemma":[0.00003749978,0.0001006004,0.974784,0.003535182,0.001538625,0.0009284441,0.009416118,0.0002787192,0.0001825168,0.0002377523,0.008923239,0.00003741241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8161299,0.1265287,0.0006427873,0.001350916,0.00006798085,0.000871935,0.04220195,0.00005859505,0.01214718],"genre_scores_gemma":[0.9659342,0.02164399,0.0006391717,0.0004388838,0.00002951951,0.000755325,0.009724535,0.00001176614,0.0008227773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7732348,"threshold_uncertainty_score":0.4508905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108788270925333,"score_gpt":0.3701843652649856,"score_spread":0.2593055381724523,"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."}}