{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.005711014,0.002318059,0.002561105,0.001159998,0.004156402,0.00004928311,0.002335475,0.003544657,0.01855914],"category_scores_gemma":[0.002839148,0.002363211,0.001215767,0.002486438,0.001365357,0.002473318,0.00133728,0.006015705,0.04480034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334524,"about_ca_system_score_gemma":0.002193405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008355184,"about_ca_topic_score_gemma":0.0002958114,"domain_scores_codex":[0.9796298,0.003873085,0.004183956,0.002298057,0.003033678,0.006981398],"domain_scores_gemma":[0.984529,0.002628279,0.003155961,0.003845155,0.001070004,0.004771554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001104123,0.004960041,0.3316418,0.001991663,0.001523775,0.0001098529,0.07027239,0.0001030376,0.001315657,0.05387665,0.4704242,0.06267686],"study_design_scores_gemma":[0.005383314,0.0003973248,0.2040103,0.00226414,0.001000813,0.00008497786,0.008805376,0.0002302799,0.0006933836,0.0004817083,0.7739019,0.002746457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4427418,0.02729081,0.008371153,0.03696163,0.05533309,0.00924783,0.001360126,0.002801962,0.4158916],"genre_scores_gemma":[0.9005944,0.002375973,0.003315664,0.007010678,0.009013394,0.000788132,0.0009698388,0.0005845997,0.07534738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4578526,"threshold_uncertainty_score":0.9989558,"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."}}