{"id":"W3125037529","doi":"","title":"Information Asymmetry and Risk Transfer Markets","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transparency (behavior); Counterparty; Information asymmetry; Inefficiency; Credit risk; Private information retrieval; Business; Database transaction; Microeconomics; Monetary economics; Economics; Actuarial science; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002179612,0.0005863897,0.001039102,0.0006928827,0.0007590121,0.003817924,0.001784622,0.003425309,0.01044413],"category_scores_gemma":[0.006426285,0.0004240022,0.00103944,0.0009415397,0.002342946,0.005078037,0.001650937,0.002385444,0.0009718325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681476,"about_ca_system_score_gemma":0.00124623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001638245,"about_ca_topic_score_gemma":0.0007651687,"domain_scores_codex":[0.9986903,0.0004874538,0.00005689545,0.0002232666,0.0003115793,0.0002304815],"domain_scores_gemma":[0.996438,0.001950941,0.0007118256,0.0004613369,0.0002427306,0.0001952066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002823246,0.00003247758,0.0001554104,0.00002709585,0.000009434584,0.0001995439,0.00006340665,0.04629815,0.0004855364,0.9489056,0.000927146,0.002867858],"study_design_scores_gemma":[0.00003745098,0.0000230989,0.0001225899,0.00001766449,0.00000925755,0.0001106248,0.00002406771,0.23282,0.0001852609,0.7647436,0.001889374,0.0000170454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1881445,0.001561831,0.698743,0.009011362,0.0001691983,0.0001606762,0.0008813916,0.0002754548,0.1010526],"genre_scores_gemma":[0.967479,0.0006076751,0.01781656,0.0002442336,0.0001567189,0.00008237427,0.0001071907,0.00002491133,0.0134813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01044413,"threshold_uncertainty_score":0.03493911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966637753993247,"score_gpt":0.2597937870675879,"score_spread":0.2401274095276554,"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."}}