{"id":"W2596128520","doi":"","title":"Механизмы реабилитации проблемных регионов в современных условиях: отечественной и зарубежный опыт","year":2014,"lang":"ru","type":"article","venue":"Вестник Тамбовского университета. Серия: Гуманитарные науки","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Diversity (politics); State (computer science); Political science; Russian federation; Capitalism; Business; Economic growth; Economic policy; Economics; Medicine; Law; Politics","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":[0.006202762,0.003192561,0.003800753,0.001388883,0.004948364,0.001711727,0.006848015,0.004290099,0.02382113],"category_scores_gemma":[0.002848156,0.003219716,0.001618435,0.003782091,0.006301821,0.002067714,0.002742659,0.004002256,0.02486297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830509,"about_ca_system_score_gemma":0.001680973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002076103,"about_ca_topic_score_gemma":0.002720044,"domain_scores_codex":[0.9793215,0.001874073,0.0044662,0.00503188,0.002951866,0.006354474],"domain_scores_gemma":[0.9878267,0.002008064,0.002547129,0.004165961,0.0008523047,0.002599858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000452533,0.001847542,0.01924398,0.0004629572,0.001099064,0.0002102609,0.008284505,0.00005310607,0.0009026777,0.4759651,0.08157627,0.409902],"study_design_scores_gemma":[0.003670094,0.001084355,0.03280617,0.000751054,0.0005051508,0.0000777422,0.003443109,0.00090465,0.002032678,0.05327217,0.8967178,0.004735033],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1794798,0.003577072,0.004778981,0.01620481,0.01641778,0.003659208,0.0003938438,0.00381404,0.7716745],"genre_scores_gemma":[0.902996,0.002922106,0.007551072,0.005877932,0.005420275,0.0003451633,0.0001907512,0.0005035254,0.07419315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8151415,"threshold_uncertainty_score":0.9993246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937300911208239,"score_gpt":0.2658208334148681,"score_spread":0.2464478243027857,"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."}}