{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002807705,0.0000658379,0.0001462431,0.00008332985,0.00008885278,0.0000371958,0.00005752911,0.00004344967,0.001394709],"category_scores_gemma":[0.0002054043,0.0000741945,0.00006061661,0.0001597419,0.00003981885,0.0001194114,0.000009121842,0.00004888839,0.0009531311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003154399,"about_ca_system_score_gemma":0.00001421424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006655086,"about_ca_topic_score_gemma":0.00001657735,"domain_scores_codex":[0.9993791,0.000005407231,0.0002720804,0.0001741259,0.00001486835,0.0001544403],"domain_scores_gemma":[0.999604,0.00002912832,0.0001264298,0.0001802485,0.00001861351,0.00004154975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[5.872529e-7,0.00001360555,0.1302161,0.00000203087,0.000002801077,3.334707e-7,0.00008296908,0.00003846048,0.000004194019,0.868443,0.0009902023,0.0002057986],"study_design_scores_gemma":[0.0001560538,0.0000191748,0.118278,0.000002030986,0.000001238876,0.000001751544,0.00008643104,0.0003872317,0.0001198242,0.5607146,0.320085,0.0001486583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4927146,0.0005432629,0.02068567,0.0001596248,0.0005474897,0.00008585663,0.00002283455,0.0000573059,0.4851833],"genre_scores_gemma":[0.9804388,0.00004007767,0.002448112,0.00002989941,0.00005882028,0.000009282528,0.000003496254,0.000009512731,0.01696199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4877242,"threshold_uncertainty_score":0.9998248,"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."}}