{"id":"W2015996691","doi":"10.1007/s00181-014-0910-y","title":"Key features and determinants of credit-less recoveries","year":2015,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Wilfrid Laurier University","funders":"","keywords":"Probit model; Currency; Economics; Monetary economics; Emerging markets; Probit; Bond market; Financial system; Econometrics; Finance","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":[0.00064027,0.0001511375,0.0004904725,0.0001349928,0.00005683961,0.0000631056,0.0002085252,0.00015021,0.00004651559],"category_scores_gemma":[0.0004091885,0.0001747447,0.00007594525,0.0001183706,0.0002355802,0.0002817324,0.0001158664,0.0001011054,0.00004095503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236603,"about_ca_system_score_gemma":0.00005988043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001425663,"about_ca_topic_score_gemma":0.0001584873,"domain_scores_codex":[0.9986187,0.00001806954,0.0006897068,0.0004161802,0.00002510171,0.0002322662],"domain_scores_gemma":[0.9989651,0.0001104919,0.0003799694,0.0003663664,0.00004768974,0.0001303248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003715577,0.00008908177,0.9581409,0.00003346151,0.00001566523,6.896709e-7,0.001488835,0.0003349803,8.114152e-7,0.03424969,0.002304943,0.003303749],"study_design_scores_gemma":[0.0007304971,0.0001776226,0.8152505,0.00001208306,0.000007142847,0.0000187147,0.0002198684,0.004668685,0.0001540996,0.1517327,0.02666196,0.0003662142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908481,0.001263297,0.0002154221,0.000491395,0.0005722584,0.0001285173,0.0001413003,0.00002670979,0.00631302],"genre_scores_gemma":[0.9977741,0.0001318002,0.001499605,0.00014463,0.0001183944,0.000006838803,0.000008876733,0.00002184506,0.0002939174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1428905,"threshold_uncertainty_score":0.7125884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06574051091996731,"score_gpt":0.2780306717668409,"score_spread":0.2122901608468736,"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."}}