{"id":"W3194239761","doi":"10.2139/ssrn.3909886","title":"CEO Social Media Presence and Insider Trading","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Insider trading; Business; Social media; Political science; Finance; 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":[0.001236119,0.0001714579,0.0002592994,0.0009305071,0.0007282239,0.00354788,0.000344561,0.001148039,0.01481912],"category_scores_gemma":[0.01770257,0.0001941424,0.0002392877,0.0007350462,0.0005321403,0.001781936,0.001148981,0.001192024,0.001037669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00045513,"about_ca_system_score_gemma":0.0004306353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002410937,"about_ca_topic_score_gemma":0.005057987,"domain_scores_codex":[0.9991533,0.0003380814,0.0000504247,0.00009804427,0.0001762281,0.0001839433],"domain_scores_gemma":[0.962644,0.01985921,0.01128893,0.001024688,0.000981805,0.004201367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001189682,0.001662223,0.9720331,0.00004609292,0.0001615059,0.0005040708,0.001683954,0.0002501309,0.001072678,0.001973912,0.001456083,0.01796662],"study_design_scores_gemma":[0.00003396399,0.0002398697,0.992098,0.00002923855,0.00009518254,0.000196616,0.00384265,0.0007965562,0.0003215985,0.001129714,0.001199927,0.00001681429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903219,0.0003043461,0.00006976867,0.000617762,0.00002810995,0.000004961516,0.00008878541,0.000005380875,0.008559085],"genre_scores_gemma":[0.9977911,0.00009669887,0.00002591475,0.00006180636,0.00006359133,0.000002940032,0.00005458138,0.000003791854,0.001899593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01481912,"threshold_uncertainty_score":0.04957485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324302738235063,"score_gpt":0.3195575155576572,"score_spread":0.2863144881753065,"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."}}