{"id":"W2371322757","doi":"","title":"Thoughts and conceiving on patient safety and medical risk early warning and monitoring system construction in China","year":2012,"lang":"en","type":"article","venue":"Chinese Hospitals","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Status quo; China; Warning system; Early warning system; Patient safety; Risk management; Medicine; Risk assessment; Safety monitoring; Management system; Risk analysis (engineering); Medical emergency; Operations management; Business; Computer security; Political science; Engineering; Computer science; Finance; Health care","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001600001,0.0001578246,0.0003075634,0.0001204401,0.0008222393,0.00001337336,0.00004880134,0.000207926,0.00001423631],"category_scores_gemma":[0.001194013,0.0001155518,0.00001643468,0.0001620515,0.0001099925,0.0002570464,0.0001273364,0.0008248244,0.00001212901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001349068,"about_ca_system_score_gemma":0.00008738351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005055355,"about_ca_topic_score_gemma":0.00002349549,"domain_scores_codex":[0.9977297,0.0005980747,0.0005000245,0.0002487681,0.0004135883,0.000509908],"domain_scores_gemma":[0.9978495,0.001295968,0.0001718241,0.0001254675,0.00005514835,0.0005021148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000141448,0.00001507043,0.9593627,0.0003368647,0.000006223113,0.000003454657,0.007154354,0.000001465275,0.000003231806,0.0005905476,0.000003681311,0.03238099],"study_design_scores_gemma":[0.0008876561,0.000144674,0.9958605,0.0009272522,0.000003971949,0.000009647933,0.001405411,0.0004552505,0.000003388903,0.0001223326,0.00007148364,0.0001083947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950181,0.001619822,0.00005006608,0.0002732165,0.0009706622,0.0007380875,0.00001968585,0.00004400804,0.001266316],"genre_scores_gemma":[0.9979683,0.0009855552,0.0002290498,0.00002426009,0.0006873993,0.00006526006,0.000005142446,0.00001646388,0.00001862559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03649787,"threshold_uncertainty_score":0.6324083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387364488305784,"score_gpt":0.3777915871571819,"score_spread":0.3639179422741241,"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."}}