{"id":"W3022074994","doi":"10.2139/ssrn.2079695","title":"Resolution of Financial Distress Under Chapter 11","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Resolution (logic); Financial distress; Distress; Business; Finance; Financial system; Psychology; Computer science; Artificial intelligence; Psychotherapist","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":[0.001559202,0.0002796948,0.0003876873,0.0006729782,0.001100309,0.002930114,0.0009019211,0.001872043,0.03166908],"category_scores_gemma":[0.004058497,0.0001935894,0.0004146253,0.0003549669,0.0009986112,0.00103455,0.002356812,0.002259473,0.004744531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009925592,"about_ca_system_score_gemma":0.002526672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002112543,"about_ca_topic_score_gemma":0.004236982,"domain_scores_codex":[0.9986352,0.0001594463,0.0000801239,0.0001707864,0.0005219411,0.0004324576],"domain_scores_gemma":[0.9987265,0.0003061149,0.0002667414,0.0001315322,0.0003436914,0.000225356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004360289,0.0003761009,0.0211746,0.0004569907,0.00005772716,0.002408837,0.004031049,0.003027226,0.005828249,0.5666485,0.1202833,0.2752714],"study_design_scores_gemma":[0.00008112003,0.0007158043,0.07143129,0.001193967,0.0001021419,0.002443269,0.002967433,0.005521367,0.01356919,0.1529132,0.748956,0.0001052044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1790713,0.003509618,0.01665001,0.0098961,0.001641218,0.0004620093,0.001054155,0.000464269,0.7872513],"genre_scores_gemma":[0.5422217,0.002169955,0.006666012,0.001330341,0.00116521,0.0002709632,0.001013982,0.000115522,0.4450462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03166908,"threshold_uncertainty_score":0.1059436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632876230338048,"score_gpt":0.2093602877353031,"score_spread":0.1930315254319226,"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."}}