{"id":"W4416830274","doi":"10.34925/eip.2025.184.11.083","title":"ИНСТИТУЦИОНАЛЬНЫЕ ФАКТОРЫ ЭКОНОМИЧЕСКОГО РАЗВИТИЯ РЫНКА ОБРАЗОВАТЕЛЬНЫХ УСЛУГ","year":2025,"lang":"ru","type":"article","venue":"Экономика и предпринимательство","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; General Agreement on Trade in Services; Liberalization; Context (archaeology); Free trade; Developing country; Trade in services; Work (physics)","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001982823,0.001576438,0.001535916,0.001816041,0.001646828,0.001580898,0.004866575,0.001073731,0.00217836],"category_scores_gemma":[0.000361678,0.001670772,0.0007653254,0.004961171,0.0007712443,0.001768989,0.001865297,0.001817257,0.003157676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000787792,"about_ca_system_score_gemma":0.003172145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004914629,"about_ca_topic_score_gemma":0.0004566762,"domain_scores_codex":[0.9897804,0.0005198384,0.002647231,0.002988482,0.001681032,0.002383021],"domain_scores_gemma":[0.9913412,0.001001605,0.0009517914,0.004189675,0.00186346,0.0006522954],"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":[0.00005692648,0.001694566,0.00194616,0.0005034237,0.0005866922,0.00007162367,0.002062007,0.0001900214,0.000692908,0.7450444,0.1715534,0.07559785],"study_design_scores_gemma":[0.003921976,0.000692536,0.0841592,0.002363588,0.0005398853,0.0001462997,0.004992608,0.0144502,0.00454012,0.08025563,0.7996972,0.004240784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1097446,0.04328204,0.0846621,0.2328202,0.03861077,0.003707375,0.0004204672,0.002571319,0.484181],"genre_scores_gemma":[0.8646399,0.002682566,0.01293831,0.009062821,0.002137666,0.0004193034,0.0001763259,0.0001720825,0.107771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7548953,"threshold_uncertainty_score":0.9996983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306655802720245,"score_gpt":0.328010009869324,"score_spread":0.2973444295972996,"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."}}