{"id":"W4407871582","doi":"10.1108/rcf-03-2024-0083","title":"Issuing Equity in the Face of Bad News","year":2025,"lang":"en","type":"article","venue":"Review of Corporate Finance","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Face (sociological concept); Equity (law); Business; Internet privacy; Advertising; Economics; Political science; Computer science; Law; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.001910452,0.00003857312,0.0001529845,0.00003527814,0.00007021416,0.00001464776,0.0002842717,0.00002371421,0.00006140987],"category_scores_gemma":[0.00143054,0.00002932206,0.00003230588,0.001657363,0.0001029736,0.0002061927,0.00002198452,0.0001240872,0.000009889039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002421525,"about_ca_system_score_gemma":0.0008354326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247315,"about_ca_topic_score_gemma":0.0004951953,"domain_scores_codex":[0.9991174,0.0002540627,0.0003213941,0.00007159192,0.0001553327,0.0000801659],"domain_scores_gemma":[0.9989128,0.000216743,0.0005003869,0.0001807523,0.0001829925,0.000006358093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002622309,0.00007834119,0.002695918,0.001291402,0.000003189812,3.772942e-7,0.002954996,0.000004210629,0.00003183888,0.8778601,0.02768168,0.08739538],"study_design_scores_gemma":[0.00004045689,0.00000637379,0.007209949,0.002751638,0.000008874916,1.07339e-7,0.000811175,0.000003017379,0.00005201262,0.006247095,0.9828344,0.00003491572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02742822,0.1227036,0.0008440952,0.2557994,0.0006557207,0.001152968,0.00001167542,0.00001564911,0.5913886],"genre_scores_gemma":[0.854528,0.1377811,0.0004725893,0.004352794,0.00002599851,0.0000244528,0.000003203835,0.000001860835,0.002810033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9551527,"threshold_uncertainty_score":0.1885575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1357985801622589,"score_gpt":0.4721779569228083,"score_spread":0.3363793767605495,"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."}}