{"id":"W3171910175","doi":"10.30525/978-9934-26-064-3-36","title":"ACTUAL PROBLEMS OF FORMATION FINANCIAL MARKET MEGA-REGULATOR","year":2021,"lang":"en","type":"article","venue":"","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Financial crisis; Financial market; Regulator; Relevance (law); Globalization; Financial regulation; Mega-; Economics; Financial integration; Financial institution; Business; Market economy; Finance; Political science; Macroeconomics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002563897,0.00003989416,0.00008924145,0.00002183624,0.0001162565,0.00001579773,0.0001095123,0.0001013518,0.004226184],"category_scores_gemma":[0.0002707704,0.00003385809,0.00002982937,0.0001334386,0.0001053335,0.0001605435,0.00004617062,0.00004379141,0.00002116382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004292874,"about_ca_system_score_gemma":0.00016472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004132803,"about_ca_topic_score_gemma":0.0003791962,"domain_scores_codex":[0.999487,0.00002896207,0.0001693593,0.00008898829,0.00009756396,0.0001281136],"domain_scores_gemma":[0.9997594,0.00003788102,0.00005661646,0.00007207142,0.00004412997,0.00002989128],"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":[0.000005147222,0.00005911665,0.002547182,0.00001827302,0.000009749167,0.000001790373,0.001863873,0.000001444398,0.0002329577,0.9167319,0.02625242,0.05227615],"study_design_scores_gemma":[0.0004178661,0.00003036385,0.04597963,0.00004360372,0.000008186888,0.000001805635,0.003233829,0.0001038336,0.01733447,0.1297408,0.8028597,0.0002458792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3444669,0.00003680231,0.001025748,0.001547578,0.0001728536,0.0001055888,0.000003139537,0.00008111517,0.6525602],"genre_scores_gemma":[0.9816818,0.00006703185,0.003863381,0.0001165702,0.00002766619,0.000006654493,0.000002716499,0.000001837742,0.01423234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7869911,"threshold_uncertainty_score":0.9966841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051109484012842,"score_gpt":0.2513671399915118,"score_spread":0.2308560451513834,"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."}}