{"id":"W3124906954","doi":"10.1111/j.0732-8516.2004.00067.x","title":"Maturity and Corporate Loan Pricing","year":2004,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Loan; Maturity (psychological); Sample (material); Econometrics; Quality (philosophy); Economics; Business; Actuarial science; Monetary economics; Finance; Psychology","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":[0.001695301,0.0001002196,0.0002254557,0.0008834566,0.0001524186,0.000910334,0.0001612542,0.00036469,0.003273527],"category_scores_gemma":[0.01801924,0.00008077022,0.000124363,0.001271513,0.0002278292,0.0007529671,0.000388235,0.000488287,0.0003084845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003624442,"about_ca_system_score_gemma":0.000283055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008567251,"about_ca_topic_score_gemma":0.000692744,"domain_scores_codex":[0.9994472,0.0002625326,0.00003712828,0.00004471372,0.0001648671,0.00004353147],"domain_scores_gemma":[0.986765,0.004874549,0.00592855,0.0003040308,0.001458485,0.0006693549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005509679,0.0002213969,0.8201085,0.0003013673,0.0001803212,0.0004285389,0.0006105703,0.006720759,0.003991134,0.04180533,0.00300592,0.1220752],"study_design_scores_gemma":[0.00003865278,0.0002413196,0.9437337,0.0001235383,0.00006909923,0.0005540693,0.0002646824,0.00834961,0.0008410731,0.03828822,0.007473946,0.00002202577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682229,0.01307255,0.00222089,0.001307384,0.0000185788,0.00001554007,0.000137049,0.00002082255,0.01498423],"genre_scores_gemma":[0.9975504,0.001381305,0.0001973301,0.00003383839,0.00004026871,0.000003005987,0.0000438685,0.000002203325,0.0007477251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003273527,"threshold_uncertainty_score":0.01095098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628781971955053,"score_gpt":0.2215662563534299,"score_spread":0.1952784366338794,"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."}}