{"id":"W4385062611","doi":"10.2139/ssrn.4508135","title":"Q&A Interactions: Managers’ Withholding of Information and the Effect of Giving Investors a Voice","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Business; Monetary economics; Communication; Economics; Psychology","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":[0.005870768,0.0002009693,0.0003017183,0.00040451,0.001333471,0.003305568,0.0005468131,0.003159606,0.03000554],"category_scores_gemma":[0.08433493,0.0002913639,0.0002786081,0.0004012285,0.001114174,0.002190581,0.001523348,0.002544257,0.001526022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156221,"about_ca_system_score_gemma":0.001009803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00324128,"about_ca_topic_score_gemma":0.003886149,"domain_scores_codex":[0.996536,0.002258607,0.0001675482,0.0001748311,0.0003615992,0.0005013719],"domain_scores_gemma":[0.7713635,0.19298,0.02519677,0.002334213,0.001497464,0.006628121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04359982,0.01687548,0.6127785,0.0009871406,0.001017314,0.005125789,0.01595949,0.01620374,0.02989081,0.05238676,0.03689268,0.1682824],"study_design_scores_gemma":[0.004354042,0.009437132,0.8566744,0.0002255183,0.0008031314,0.0008813474,0.01519893,0.01874276,0.01121382,0.04666696,0.03557204,0.0002298676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611993,0.0002918105,0.0004190513,0.004155407,0.00007414061,0.00003258858,0.0001300855,0.00002684803,0.03367069],"genre_scores_gemma":[0.9970017,0.00005017701,0.0000858175,0.0003240065,0.00005849042,0.00001405103,0.00002284795,0.000004429049,0.002438519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03000554,"threshold_uncertainty_score":0.1003786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078307162924944,"score_gpt":0.2557317786712485,"score_spread":0.2449487070419991,"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."}}