{"id":"W3212000763","doi":"","title":"СРАВНИТЕЛЬНЫЙ АНАЛИЗ ФИНАНСИРОВАНИЯ ВЫСШЕГО ОБРАЗОВАНИЯ В РАЗЛИЧНЫХ СТРАНАХ","year":2018,"lang":"ru","type":"article","venue":"","topic":"Labor Market and Education","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Higher education; Originality; Public sector; Work (physics); Private sector; Economic growth; Economics; Business; Political science; Finance; Economy","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":[0.001532229,0.0004182808,0.0004161302,0.002395784,0.001534268,0.003984288,0.0005478136,0.0008624166,0.01551599],"category_scores_gemma":[0.003496472,0.0006689121,0.0005430267,0.002816051,0.0022325,0.001449225,0.001215917,0.001712642,0.003791155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577049,"about_ca_system_score_gemma":0.00392743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005158933,"about_ca_topic_score_gemma":0.006018105,"domain_scores_codex":[0.9984736,0.0003251735,0.00009094776,0.0002478654,0.0007334806,0.0001290303],"domain_scores_gemma":[0.9980854,0.0005798709,0.0003579195,0.0003791392,0.0004864972,0.0001112239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000137708,0.0000874484,0.002707788,0.0007241087,0.00004826541,0.0007574542,0.002094772,0.003410843,0.01799503,0.7351784,0.006807505,0.2300506],"study_design_scores_gemma":[0.00006855487,0.000142012,0.009504841,0.0004280061,0.0001163586,0.002003657,0.001581995,0.003643336,0.02218635,0.2830171,0.6771466,0.0001611122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1222028,0.04214974,0.2453709,0.00730237,0.002270106,0.0005363162,0.001991781,0.0006064588,0.5775695],"genre_scores_gemma":[0.7782427,0.02066681,0.1532398,0.0002210049,0.0004148858,0.0006140855,0.0003762007,0.0002035515,0.04602101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01551599,"threshold_uncertainty_score":0.05190611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02892532142454395,"score_gpt":0.226465386130209,"score_spread":0.1975400647056651,"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."}}