{"id":"W2071520903","doi":"10.1007/s10551-013-1657-7","title":"The Impact of Fraudulent False Information on Equity Values","year":2013,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Alberta; Concordia University","funders":"","keywords":"Insider trading; Private information retrieval; Insider; Equity (law); Stock (firearms); Business; Financial economics; Economics; Business ethics; Market manipulation; Actuarial science; Finance; Computer security; Computer science; Political science; Law","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":[0.01837443,0.0003364528,0.0005993773,0.002092864,0.001507075,0.005595327,0.001070711,0.004026196,0.00946928],"category_scores_gemma":[0.33299,0.000536261,0.0004447558,0.001525086,0.004702932,0.00560212,0.002274096,0.005222258,0.0006760146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00244605,"about_ca_system_score_gemma":0.001963094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002789889,"about_ca_topic_score_gemma":0.001849559,"domain_scores_codex":[0.9827659,0.0109969,0.0007231676,0.0007604628,0.003599708,0.001153795],"domain_scores_gemma":[0.4561868,0.4608937,0.04074869,0.0210948,0.01760126,0.00347473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005103207,0.002320698,0.4063509,0.0004029878,0.0005921068,0.004809846,0.007618629,0.0233388,0.002667218,0.3529674,0.02287245,0.1709556],"study_design_scores_gemma":[0.0004128726,0.0007128118,0.1712161,0.0005236489,0.0005796805,0.003496784,0.006729068,0.09116992,0.005216896,0.7100837,0.009661586,0.00019697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263154,0.001557017,0.00582364,0.02436065,0.0002224532,0.00005613287,0.000322706,0.00006145742,0.04128046],"genre_scores_gemma":[0.9984722,0.0001676106,0.0003236345,0.000415186,0.00007143185,0.000005854309,0.00001953865,0.000008131843,0.0005164738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01837443,"threshold_uncertainty_score":0.09717441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09995002046203844,"score_gpt":0.3019719233499818,"score_spread":0.2020219028879434,"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."}}