{"id":"W3121343508","doi":"10.1093/rcfs/cfz011","title":"How Do Laws and Institutions Affect Recovery Rates for Collateral?","year":2019,"lang":"en","type":"article","venue":"The Review of Corporate Finance Studies","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Collateral; Creditor; Debt; Loan; Business; Financial system; Monetary economics; Finance; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005950686,0.0002266339,0.000659105,0.00004608478,0.0002075714,0.00008744357,0.0002198652,0.00003191913,0.000005429454],"category_scores_gemma":[0.0001925961,0.0001433584,0.0001296106,0.0005437179,0.000212461,0.0008284024,0.0001388346,0.00007513252,0.00004284022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001854335,"about_ca_system_score_gemma":0.00004803656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001646663,"about_ca_topic_score_gemma":0.00003016943,"domain_scores_codex":[0.9990356,0.00001622821,0.0003099798,0.0002773748,0.0001444935,0.0002162988],"domain_scores_gemma":[0.9979741,0.0001270026,0.001151758,0.0003512145,0.0003916579,0.00000426759],"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":[0.0005196335,0.0002261732,0.09118307,0.1184858,0.0006732607,0.00001609854,0.0001612338,0.0002073942,0.0006243663,0.4528042,0.2380894,0.09700938],"study_design_scores_gemma":[0.0009601273,0.0001000429,0.03161496,0.01504342,0.0002343672,0.000003953086,0.00008652457,0.00005669723,0.00009799098,0.01673772,0.9346623,0.0004019421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5523682,0.4288688,0.0001712547,0.01238077,0.001009616,0.002862185,0.00007762326,0.0000509741,0.002210597],"genre_scores_gemma":[0.6369107,0.3582693,0.0001530825,0.002081631,0.0002846046,0.0002145471,0.00001328132,0.00002045842,0.002052391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6965729,"threshold_uncertainty_score":0.5845985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06843765913649466,"score_gpt":0.2958147460828119,"score_spread":0.2273770869463173,"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."}}