{"id":"W2182721793","doi":"","title":"мАТЕмАТИЧЕСКОЕ мОДЕЛИРОвАНИЕ СОСТОЯНИЯ ЗДОРОвьЯ мЕДИЦИНСКИХ РАБОТНИКОв","year":2012,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intensive care; Intensive care unit; Yearbook; Medicine; Health care; Emergency department; Emergency medicine; Internal medicine; Nursing; Intensive care medicine; Library science; Political science","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":[0.008612767,0.0008560548,0.001483581,0.005537391,0.001166581,0.003855728,0.0008542719,0.0008062684,0.02121156],"category_scores_gemma":[0.01912583,0.0009339854,0.002291607,0.005097199,0.001702281,0.001783,0.001579916,0.002063253,0.00539348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561639,"about_ca_system_score_gemma":0.003966004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004919242,"about_ca_topic_score_gemma":0.00544943,"domain_scores_codex":[0.9907516,0.00273734,0.001022977,0.0009735966,0.003945352,0.0005691379],"domain_scores_gemma":[0.992712,0.003962667,0.000914062,0.0007954001,0.00145147,0.0001644473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001014903,0.0004520317,0.04257062,0.00264546,0.0003865839,0.001224853,0.005002269,0.002749531,0.0176033,0.02221064,0.01232574,0.8918139],"study_design_scores_gemma":[0.0002971053,0.002140034,0.1701508,0.003837555,0.001623239,0.005063713,0.01663431,0.01342958,0.084458,0.08389857,0.6175644,0.0009026437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3871425,0.1309772,0.3288485,0.01120722,0.002062497,0.003053677,0.01027812,0.0007651729,0.1256651],"genre_scores_gemma":[0.6398754,0.04234866,0.28368,0.0009075222,0.0003867987,0.005841898,0.004586894,0.0003333068,0.0220396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02121156,"threshold_uncertainty_score":0.07095975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08653844145353036,"score_gpt":0.4034857257925116,"score_spread":0.3169472843389812,"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."}}