{"id":"W1986908688","doi":"10.1515/1555-5879.1409","title":"Mitigating Judgment Proofness: Information Acquisition vs. Extended Liability","year":2012,"lang":"en","type":"article","venue":"Review of Law & Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Moral hazard; Credit rationing; Business; Loan; Portfolio; Liability; Limited liability; Ex-ante; Private information retrieval; Information asymmetry; Finance; Economics; Monetary economics; Microeconomics; Interest rate; Incentive","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006075371,0.0009948153,0.002165754,0.0008838519,0.000950629,0.003572064,0.00261564,0.00479283,0.009629732],"category_scores_gemma":[0.03130683,0.0007337774,0.001136349,0.0005686453,0.005514002,0.005997851,0.003673479,0.003843767,0.000816965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810072,"about_ca_system_score_gemma":0.001648092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770012,"about_ca_topic_score_gemma":0.0006319787,"domain_scores_codex":[0.9958807,0.002218314,0.0001545566,0.0005638998,0.0005527918,0.0006297119],"domain_scores_gemma":[0.957358,0.03094135,0.005809436,0.003043301,0.001318818,0.001529017],"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":[0.0003549535,0.0003448155,0.002150569,0.0002725411,0.0001127335,0.001073432,0.0004074751,0.2228302,0.002332987,0.7507437,0.003634464,0.01574218],"study_design_scores_gemma":[0.0002520968,0.0002606715,0.0006335606,0.00006304033,0.00006177858,0.0002606747,0.00008978502,0.4291891,0.0005852927,0.5669329,0.001621455,0.00004976501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4210447,0.001879144,0.4870163,0.01534759,0.0002411143,0.0003201962,0.0004911775,0.0003818558,0.07327799],"genre_scores_gemma":[0.9869338,0.0003780139,0.005447445,0.0002746659,0.0001462657,0.00007969081,0.00002977431,0.00001771575,0.006692661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009629732,"threshold_uncertainty_score":0.03221464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221182001526822,"score_gpt":0.247126246075611,"score_spread":0.2249144260603428,"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."}}