{"id":"W4318486395","doi":"10.3390/jrfm16020080","title":"Factors Affecting R&amp;D Share in University Revenues: Case of Russia","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salary; Revenue; Government (linguistics); Value (mathematics); Higher education; Business; Panel data; Economics; Demographic economics; Finance; Economic growth; Econometrics; Mathematics; Statistics; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006965383,0.00004856879,0.0001469002,0.0002304697,0.0001662775,0.000009464488,0.0001134444,0.00005902736,0.00001990285],"category_scores_gemma":[0.0002020337,0.00004206588,0.00004231303,0.000380451,0.00006887795,0.00008891644,0.00007835224,0.0001303855,0.000002595258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006830721,"about_ca_system_score_gemma":0.00002401081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002759475,"about_ca_topic_score_gemma":0.0008720074,"domain_scores_codex":[0.9994962,0.00005345871,0.0001805209,0.00007329928,0.0000740325,0.0001225422],"domain_scores_gemma":[0.9996152,0.00008158965,0.0002085503,0.00004287876,0.00001594594,0.00003584263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005173805,0.00008449745,0.5278364,0.00007695246,0.00003324853,0.002210394,0.02461248,0.00004176009,0.000002115908,0.0746417,0.001752952,0.3686557],"study_design_scores_gemma":[0.0004155065,0.00003781212,0.8462085,0.0001339583,0.00002394253,0.000005440678,0.02645275,0.000002460184,0.00000433627,0.01257209,0.1140444,0.00009875924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972013,0.00005798978,0.0002565506,0.0000611627,0.0001539888,0.00006618632,0.000008457555,0.00001106943,0.002183247],"genre_scores_gemma":[0.9972717,0.002021006,0.0004205949,0.000004750364,0.00002702988,1.254095e-7,4.562866e-7,0.000001973303,0.0002523806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.368557,"threshold_uncertainty_score":0.1715397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03247949247344844,"score_gpt":0.2684671952286184,"score_spread":0.2359877027551699,"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."}}