{"id":"W3125264629","doi":"10.2139/ssrn.252653","title":"Voluntary Disclosure and Equity Offerings: Reducing Information Asymmetry or Hyping the Stock?","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Information asymmetry; Voluntary disclosure; Business; Equity (law); Turnover; Stock (firearms); Accounting; Finance; Economics; Law; Political science; Management","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":[0.002359634,0.0002202817,0.000187196,0.0001943383,0.0008374191,0.0007475633,0.0004529159,0.00005635909,0.00007810375],"category_scores_gemma":[0.002037566,0.0001533004,0.00007472128,0.0005267892,0.0000625386,0.003614889,0.0004955719,0.001495157,0.00006767725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004347162,"about_ca_system_score_gemma":0.0002093896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006468399,"about_ca_topic_score_gemma":0.0007554787,"domain_scores_codex":[0.9973567,0.00002181913,0.0004038005,0.0001926617,0.0004673035,0.001557711],"domain_scores_gemma":[0.9947729,0.00004828358,0.004857032,0.0001988654,0.000104352,0.00001863527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001365378,0.00002603876,0.05510535,0.000086161,0.000147468,0.000009229143,0.0001814468,0.0003006549,0.00004084543,0.04324761,0.001479882,0.8992388],"study_design_scores_gemma":[0.002895419,0.0001999207,0.1694485,0.0005475322,0.0004168901,0.00131961,0.009790896,0.01114928,0.00001375198,0.08447435,0.7185032,0.001240678],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8256067,0.0008157967,0.1605686,0.004016325,0.0003705402,0.0003148951,8.841557e-7,0.0001155477,0.008190727],"genre_scores_gemma":[0.9943638,0.001350888,0.00005225475,0.001464387,0.001486874,0.000008334067,0.000006682478,0.00002711976,0.001239611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8979981,"threshold_uncertainty_score":0.720877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009363047793859176,"score_gpt":0.2259334632590423,"score_spread":0.2165704154651832,"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."}}