{"id":"W58064186","doi":"","title":"Социологический мониторинг как основа выявления проблем и особенностей повышения квалификации руководителей здравоохранения на региональном уровне","year":2011,"lang":"ru","type":"article","venue":"Kazan medical journal","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Medical education; Health care; Economic shortage; Professional development; Legislature; Training (meteorology); Nursing; Psychology; Medicine; Political science; Government (linguistics)","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":[0.00162643,0.0003637464,0.0003304531,0.001695502,0.001296682,0.002934437,0.0005107567,0.0009997283,0.04734022],"category_scores_gemma":[0.003118999,0.0004451427,0.0002522031,0.001980262,0.001416706,0.001126599,0.001027282,0.001154755,0.01632215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372731,"about_ca_system_score_gemma":0.004617273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006592413,"about_ca_topic_score_gemma":0.01092385,"domain_scores_codex":[0.9979991,0.0003666253,0.00009738099,0.0002394545,0.00112726,0.000170107],"domain_scores_gemma":[0.9983,0.0004363525,0.0002541259,0.0001988559,0.000629188,0.0001815877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002408574,0.0002078162,0.005514804,0.0009828163,0.00004345256,0.001373281,0.003614369,0.001516845,0.02857616,0.2048876,0.06491867,0.6881233],"study_design_scores_gemma":[0.00004465387,0.00008559862,0.006599314,0.0003093675,0.00003556357,0.001062904,0.001530958,0.0008682509,0.006958146,0.02594186,0.9564968,0.00006656618],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07102876,0.03916238,0.1173466,0.01731907,0.004019827,0.0007196312,0.001341462,0.0006642676,0.7483981],"genre_scores_gemma":[0.6139324,0.02926181,0.1086876,0.001576724,0.0009986445,0.001082455,0.000964498,0.0004762213,0.2430196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04734022,"threshold_uncertainty_score":0.1583688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08145017914587588,"score_gpt":0.3082506595241741,"score_spread":0.2268004803782983,"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."}}