{"id":"W2953737398","doi":"10.3390/jrfm12040184","title":"Impact of Readability on Corporate Bond Market","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Readability; Corporate bond; Bond market; Volatility (finance); Bond; Business; Transaction cost; Database transaction; Monetary economics; Economics; Accounting; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003212593,0.0002438996,0.0003083319,0.001600637,0.0002967864,0.002458093,0.0004639923,0.0005815307,0.01164988],"category_scores_gemma":[0.05514219,0.0001017137,0.0003961433,0.001447374,0.0005118928,0.001456562,0.0007784186,0.000788923,0.001297101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000545286,"about_ca_system_score_gemma":0.0003015691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002624268,"about_ca_topic_score_gemma":0.002376519,"domain_scores_codex":[0.9976783,0.0007703906,0.0002925747,0.0002747154,0.0007569901,0.0002269585],"domain_scores_gemma":[0.8623868,0.05710975,0.0613008,0.006094627,0.008330006,0.004777981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001128136,0.0006477418,0.9423525,0.0001087423,0.0002591935,0.0005644793,0.0009117596,0.001180817,0.003332924,0.0008456767,0.001980872,0.04668713],"study_design_scores_gemma":[0.00001437564,0.0002700668,0.996082,0.00001842591,0.00004164763,0.0001695302,0.0004819476,0.0004327083,0.0008724933,0.0003487882,0.001251789,0.00001613742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933299,0.0006285819,0.0002641382,0.0005369014,0.00002875673,0.00001217129,0.0006322698,0.00003664093,0.004530551],"genre_scores_gemma":[0.9980416,0.000121844,0.0001120844,0.00006060411,0.00006155801,0.000003328759,0.0003358693,0.00001047859,0.001252622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01164988,"threshold_uncertainty_score":0.03897274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601772036117945,"score_gpt":0.2181108070527688,"score_spread":0.2020930866915893,"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."}}