{"id":"W4400416663","doi":"10.3390/jrfm17070286","title":"Financial Distress Premium or Discount? Some New Evidence","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recession; Economics; Financial distress; Risk premium; Distress; Portfolio; Actuarial science; Econometrics; Financial economics; Psychology; Financial system; Clinical psychology","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":[0.004776693,0.0003930928,0.0009956781,0.002906963,0.0004520717,0.003523519,0.001575428,0.002135593,0.01335935],"category_scores_gemma":[0.03897568,0.0002803366,0.0005110508,0.002633178,0.003420315,0.007229355,0.00168516,0.004343898,0.0008077634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006992542,"about_ca_system_score_gemma":0.0004923773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002475461,"about_ca_topic_score_gemma":0.001311667,"domain_scores_codex":[0.9987204,0.0002274613,0.000144763,0.0004266429,0.0003854287,0.00009530009],"domain_scores_gemma":[0.907963,0.07369398,0.01152677,0.002418348,0.003099174,0.00129884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002190879,0.0007524111,0.285623,0.003984897,0.00103143,0.001916989,0.007290863,0.00131938,0.001452087,0.2434613,0.0227768,0.4282],"study_design_scores_gemma":[0.0003148357,0.0006343749,0.5529781,0.005486331,0.001034905,0.002536275,0.01884621,0.004827242,0.001580118,0.2810565,0.1303816,0.0003234528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5175316,0.2537483,0.007392248,0.1246766,0.001842781,0.00007004045,0.002148452,0.00009742755,0.09249256],"genre_scores_gemma":[0.9125376,0.07005117,0.0008864994,0.007823348,0.005632708,0.00001376889,0.0005486942,0.00004214007,0.002464163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335935,"threshold_uncertainty_score":0.04469144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499245397996806,"score_gpt":0.2435564185230084,"score_spread":0.2185639645430403,"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."}}