{"id":"W1593872919","doi":"","title":"Valuing Corporate Liabilities","year":2003,"lang":"en","type":"article","venue":"","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Econometrics; Bond; Yield (engineering); Market liquidity; Economics; Estimation; Stock (firearms); Implementation; Maximum likelihood; Financial economics; Monetary economics; Statistics; Computer science; Mathematics; Finance; Geography","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":[0.001543598,0.0002940412,0.000437446,0.0008614804,0.0002540704,0.001401133,0.0005987412,0.0006206559,0.003237275],"category_scores_gemma":[0.007975014,0.000263463,0.0003249962,0.0008102754,0.0002732852,0.001549884,0.0006484097,0.0005653118,0.0003065253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005428463,"about_ca_system_score_gemma":0.0005488662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275524,"about_ca_topic_score_gemma":0.003320977,"domain_scores_codex":[0.999411,0.0002923246,0.00002412654,0.00009326129,0.0001306621,0.0000485499],"domain_scores_gemma":[0.998373,0.0008868409,0.0002280315,0.0002722688,0.0001797841,0.00005991491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001221012,0.0003718589,0.05622441,0.00007010446,0.0001122503,0.0001204733,0.0002620848,0.7781148,0.007137407,0.03698203,0.001244132,0.1192384],"study_design_scores_gemma":[0.00001806493,0.00008957595,0.008323952,0.000009521757,0.00001277452,0.00001780305,0.00005524133,0.9693456,0.0029907,0.01806315,0.001060726,0.00001293004],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8409859,0.000179544,0.1494769,0.0003887827,0.0000124421,0.00007265447,0.0004957909,0.0002787937,0.008109148],"genre_scores_gemma":[0.9692161,0.00007919326,0.02957456,0.00001906015,0.0000086906,0.00002569646,0.0002802965,0.00001385351,0.0007825171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003237275,"threshold_uncertainty_score":0.01082975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07333498819568599,"score_gpt":0.2043093407872811,"score_spread":0.1309743525915952,"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."}}