{"id":"W3087343119","doi":"10.1016/j.jacceco.2020.101362","title":"Alternative evidence and views on asymmetric loan loss provisioning","year":2020,"lang":"en","type":"article","venue":"Journal of Accounting and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Non-performing loan; Loan; Econometrics; Quality (philosophy); Information asymmetry; Measure (data warehouse); Asymmetry; Economics; Actuarial science; Business; Computer science; Microeconomics; Finance; Data mining","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":[0.02218724,0.0007345614,0.001123652,0.007556908,0.001629455,0.008488609,0.003820364,0.00894133,0.02667982],"category_scores_gemma":[0.1094709,0.0006331357,0.0006637442,0.005027756,0.01251144,0.01493571,0.005040457,0.006386335,0.002244236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002030015,"about_ca_system_score_gemma":0.0008515416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001822089,"about_ca_topic_score_gemma":0.001386692,"domain_scores_codex":[0.9898609,0.002890429,0.0009132766,0.001712987,0.003606949,0.0010154],"domain_scores_gemma":[0.7993045,0.1444665,0.02716782,0.01463198,0.01211812,0.002311176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002137893,0.0005193892,0.04778341,0.0007645354,0.0002854456,0.001646735,0.003054887,0.001593933,0.001170654,0.844579,0.0199827,0.07648129],"study_design_scores_gemma":[0.0005462038,0.0001928821,0.05465082,0.001044489,0.0003277441,0.001275367,0.007745754,0.005736802,0.002139521,0.8811421,0.04507235,0.0001259387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4894108,0.01387381,0.02208103,0.2249551,0.001372485,0.0001287803,0.002831552,0.0001063069,0.2452403],"genre_scores_gemma":[0.9824369,0.003024628,0.001673277,0.00717728,0.002521478,0.00002513166,0.000399004,0.00002689521,0.002715444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02667982,"threshold_uncertainty_score":0.1173387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.063160311080297,"score_gpt":0.2474663637833143,"score_spread":0.1843060527030173,"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."}}