{"id":"W2155122597","doi":"","title":"ОЦЕНКА ПОТЕРЬ БЮДЖЕТА КРАСНОЯРСКОГО КРАЯ ИЗ-ЗА НЕДОПОСТУПЛЕНИЯ НАЛОГОВ ОТ ПРЕДПРИЯТИЙ В СВЯЗИ С ВРЕМЕННОЙ НЕТРУДОСПОСОБНОСТЬЮ КУРЯЩИХ СОТРУДНИКОВ И СНИЖЕНИЯ ИНТЕНСИВНОСТИ ТРУДА ИЗ-ЗА ПЕРЕКУРОВ","year":2013,"lang":"ru","type":"article","venue":"Современные исследования социальных проблем (электронный журнал)","topic":"Economic Development and Regional Competitiveness","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimation; Economics; Work (physics); Business; Demographic economics; Agricultural economics; Engineering","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005707102,0.006447288,0.008672271,0.004735841,0.003459929,0.004301281,0.007936172,0.004394943,0.04530972],"category_scores_gemma":[0.001324395,0.00755127,0.004271928,0.004458431,0.00278825,0.006069369,0.003879756,0.005456917,0.08767748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003727071,"about_ca_system_score_gemma":0.002205554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004168994,"about_ca_topic_score_gemma":0.001352208,"domain_scores_codex":[0.9679287,0.001061385,0.01096142,0.009067069,0.001809121,0.009172282],"domain_scores_gemma":[0.9786098,0.002326333,0.006355039,0.006719052,0.001784283,0.004205504],"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":[0.001961993,0.008815486,0.2313389,0.004571399,0.01053498,0.001424769,0.01086144,0.001497843,0.002748825,0.2676071,0.4092609,0.04937641],"study_design_scores_gemma":[0.01272114,0.001359325,0.1420769,0.00208164,0.0007690479,0.0005059264,0.003594688,0.004982996,0.001838966,0.03825988,0.7794673,0.01234222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6019586,0.03820754,0.002581753,0.01997972,0.03381981,0.01091916,0.005191125,0.002593878,0.2847484],"genre_scores_gemma":[0.8199477,0.01460285,0.004876269,0.00672895,0.007609583,0.00210597,0.002736155,0.00195589,0.1394367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3702064,"threshold_uncertainty_score":0.9999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693870678965378,"score_gpt":0.1818479997342959,"score_spread":0.1549092929446421,"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."}}