{"id":"W2901221546","doi":"10.6000/1929-7092.2018.07.60","title":"Problems of Determining the Cost of Collateral in the Conditions of Implementation Basel II, III Standards in Russia","year":2018,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collateral; Valuation (finance); Basel II; Actuarial science; Credit risk; Basel III; Econometrics; Economics; Business; Risk analysis (engineering); Accounting; Finance; Microeconomics; Capital requirement","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":[0.003461555,0.00007110225,0.0003779397,0.00006161261,0.00009316738,0.00001369283,0.0003993364,0.000057319,0.0001501804],"category_scores_gemma":[0.0001372863,0.00004223098,0.00009021149,0.0001934293,0.0002876149,0.0001349075,0.00003622311,0.0001008469,8.057109e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003280755,"about_ca_system_score_gemma":0.0002942896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001354292,"about_ca_topic_score_gemma":0.002772891,"domain_scores_codex":[0.998365,0.0001590948,0.001171126,0.00007261586,0.0001039881,0.0001282132],"domain_scores_gemma":[0.9983269,0.00009716366,0.001353535,0.0001065855,0.00009280141,0.00002300511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001879652,0.0004887837,0.4631487,0.000105272,0.0001231075,0.000002264969,0.01357974,0.0002257541,0.00002357438,0.3202882,0.008160806,0.1936659],"study_design_scores_gemma":[0.004544594,0.001721,0.3986531,0.001508698,0.00009197669,0.000009783011,0.01069304,0.0001326711,0.0003442689,0.04636422,0.5356011,0.0003355475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874354,0.0003018497,0.00002271747,0.0008076932,0.0001460044,0.0005035795,0.00009565171,0.000001230365,0.0106859],"genre_scores_gemma":[0.9956397,0.003742648,0.0003843008,0.0001832867,0.00003314761,0.000007492751,0.000001585629,0.000001828461,0.000005977602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5274403,"threshold_uncertainty_score":0.1722129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05218741782115826,"score_gpt":0.3957318177753069,"score_spread":0.3435443999541486,"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."}}