{"id":"W3121170873","doi":"10.2139/ssrn.3687307","title":"Alternative Evidence and Views on Asymmetric Loan Loss Provisioning","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Provisioning; Loan; Business; Economics; Computer science; Finance; Telecommunications","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":[0.01989285,0.0007206379,0.001182899,0.006426449,0.001550683,0.008780017,0.003764266,0.008979232,0.02980199],"category_scores_gemma":[0.09761262,0.0006073554,0.0006422034,0.004809282,0.01206129,0.0149537,0.00497825,0.006749767,0.002618576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001964054,"about_ca_system_score_gemma":0.0008176519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155578,"about_ca_topic_score_gemma":0.001186993,"domain_scores_codex":[0.9903617,0.002625764,0.0008028239,0.001844743,0.003398711,0.0009663088],"domain_scores_gemma":[0.8338034,0.116531,0.02554396,0.01310133,0.00883072,0.002189643],"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":[0.001440512,0.0003567024,0.02790082,0.0006387175,0.0001949726,0.001152177,0.002483832,0.00147014,0.0008314161,0.8793938,0.01791842,0.06621841],"study_design_scores_gemma":[0.0003242441,0.0001361382,0.02969277,0.0006756275,0.0001686141,0.0007542871,0.004818179,0.00492754,0.00135028,0.9226385,0.03442632,0.00008746558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4201625,0.01262271,0.03565148,0.2418785,0.001504175,0.0001308525,0.002910881,0.0001443891,0.2849945],"genre_scores_gemma":[0.9788557,0.00320938,0.002325803,0.008141628,0.003040557,0.00003230771,0.0004234,0.00003889023,0.003932398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02980199,"threshold_uncertainty_score":0.1052046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04712962251072814,"score_gpt":0.2488909330505293,"score_spread":0.2017613105398011,"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."}}