{"id":"W2288595762","doi":"","title":"Assessing bond risks in municipal bankruptcy: Detroit and beyond, 33 CAYMAN FIN. REV. 80-81 ( 4th Quarter 2013)","year":2013,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bankruptcy; Quarter (Canadian coin); Bond; Actuarial science; Business; Finance; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004039958,0.0004518352,0.0003274385,0.001690562,0.0009998932,0.005335069,0.0007047343,0.001907192,0.003145297],"category_scores_gemma":[0.01297866,0.0003685914,0.0004062229,0.003767307,0.0009609313,0.002822693,0.001326821,0.002280807,0.0005418088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005030871,"about_ca_system_score_gemma":0.006760101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3664991,"about_ca_topic_score_gemma":0.6779948,"domain_scores_codex":[0.9990613,0.0003148734,0.00008284119,0.00007807744,0.0003530621,0.0001098724],"domain_scores_gemma":[0.9969329,0.0008092597,0.0006739279,0.0001014874,0.001143873,0.0003385886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001071875,0.0001377916,0.4114715,0.0002166222,0.0002491428,0.0005459719,0.001643493,0.00735772,0.000195905,0.06941828,0.3651737,0.1434827],"study_design_scores_gemma":[0.00003890387,0.0001854427,0.7201846,0.002247256,0.0004196743,0.0003146907,0.009197892,0.02367342,0.0009375413,0.05736453,0.185325,0.0001109256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4262544,0.1758624,0.007355377,0.2381774,0.001764367,0.0001260225,0.01512091,0.0001853085,0.1351538],"genre_scores_gemma":[0.903228,0.05193055,0.002791012,0.005268615,0.001198144,0.00007360466,0.002954023,0.00005042763,0.03250571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3664991,"threshold_uncertainty_score":0.7287316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568293173668683,"score_gpt":0.2537979111022237,"score_spread":0.2081149793655368,"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."}}