{"id":"W2018668853","doi":"10.1111/j.1370-4788.2005.00284.x","title":"Rating Cooperative and Commercial Bank Bonds: 
a comparative approach","year":2005,"lang":"en","type":"article","venue":"Annals of Public and Cooperative Economics","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Desjardins","funders":"","keywords":"Bond; Econometrics; Quality (philosophy); Parametric statistics; Set (abstract data type); Debt; Regression; Credit rating; Process (computing); Actuarial science; Computer science; Business; Economics; Statistics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01327191,0.0003529119,0.0006876725,0.00452114,0.0004324033,0.001345591,0.0008504174,0.0008408477,0.003690087],"category_scores_gemma":[0.04217561,0.000192819,0.0005827664,0.004519664,0.000677569,0.002086127,0.0009284813,0.0007713428,0.0006508615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059909,"about_ca_system_score_gemma":0.0002932464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004467943,"about_ca_topic_score_gemma":0.004676207,"domain_scores_codex":[0.991195,0.006510499,0.0002733727,0.0004972214,0.001403501,0.0001204369],"domain_scores_gemma":[0.9329939,0.05428742,0.002899324,0.002753102,0.006421582,0.0006446787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002850329,0.001121146,0.6072361,0.000833382,0.001784392,0.0004205088,0.003815216,0.04317887,0.002535971,0.03318274,0.005759325,0.2972819],"study_design_scores_gemma":[0.0001893694,0.002660305,0.6776106,0.0001450968,0.0005635654,0.0005062608,0.003743252,0.2936561,0.001895885,0.01348313,0.00545864,0.00008779424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627546,0.002536408,0.01765825,0.0003232652,0.00003074508,0.00007275234,0.0005436677,0.000105309,0.01597501],"genre_scores_gemma":[0.9956539,0.000263182,0.003043989,0.00001701989,0.00002635903,0.00001472311,0.0003629639,0.000008368862,0.0006096202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327191,"threshold_uncertainty_score":0.07018942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09409598364460722,"score_gpt":0.2752050664779965,"score_spread":0.1811090828333893,"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."}}