{"id":"W2612209245","doi":"10.2139/ssrn.2966413","title":"Bank Rating Gaps as Proxies for Systemic Risk","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Systemic risk; Business; Economics; Financial crisis","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":[0.004883633,0.0003096785,0.0005258046,0.002916607,0.0003135184,0.00220182,0.0004154258,0.001246529,0.003645647],"category_scores_gemma":[0.04190633,0.000189792,0.0003801648,0.003427859,0.0008556389,0.002002512,0.000996978,0.001687204,0.0006559211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006152156,"about_ca_system_score_gemma":0.0006222836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368442,"about_ca_topic_score_gemma":0.00176991,"domain_scores_codex":[0.9964275,0.001379687,0.0004392941,0.0003577153,0.001001645,0.0003941649],"domain_scores_gemma":[0.8404772,0.05149814,0.09337639,0.004823743,0.00513515,0.004689349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004733366,0.0002095841,0.9659611,0.00007570945,0.0001254544,0.0001753823,0.0004685218,0.00357424,0.0003509079,0.008924196,0.003371235,0.01629026],"study_design_scores_gemma":[0.00006325876,0.0003936089,0.9581917,0.00009614648,0.000103561,0.0005403677,0.0005796523,0.01954457,0.0006934401,0.0173554,0.002399312,0.00003896847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843089,0.001160708,0.003469867,0.0008752707,0.00005323028,0.00002803252,0.001259599,0.00009610287,0.008748351],"genre_scores_gemma":[0.9988752,0.00009483856,0.0002421536,0.00002967984,0.00004554915,0.000008119057,0.0002974813,0.000004637876,0.0004022617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004883633,"threshold_uncertainty_score":0.02582741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166785360961929,"score_gpt":0.243753266717129,"score_spread":0.2270747306209361,"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."}}