{"id":"W3169025555","doi":"10.3390/jrfm14060256","title":"Did Politicians Use Non-Public Macroeconomic Information in Their Stock Trades? Evidence from the STOCK Act of 2012","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock market; Restricted stock; Stock market bubble; Public information; Market maker; Legislation; Business; Economics; Monetary economics; Financial economics; Law; Political science; Public relations","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006190328,0.000106214,0.0003156502,0.0009335708,0.0008995042,0.002744944,0.0003228545,0.001104631,0.005255261],"category_scores_gemma":[0.0475812,0.0002602944,0.0002497804,0.001110555,0.001210783,0.001738648,0.0008079146,0.001718372,0.001224097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009261725,"about_ca_system_score_gemma":0.001461701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009653646,"about_ca_topic_score_gemma":0.01337107,"domain_scores_codex":[0.9955527,0.001880971,0.0002976857,0.0003651089,0.0009302603,0.0009733401],"domain_scores_gemma":[0.9461451,0.02202379,0.02564642,0.002193684,0.002196386,0.001794689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004782113,0.0002782551,0.9377603,0.0001271459,0.0001141962,0.0003625999,0.004487629,0.0005824604,0.0006067802,0.007739975,0.005978557,0.04148404],"study_design_scores_gemma":[0.0000926742,0.0002244003,0.9510075,0.0002803837,0.0000950253,0.0001677479,0.009897336,0.002086017,0.001465078,0.005443857,0.02919071,0.00004930007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667459,0.0006470804,0.0005802118,0.008041385,0.00008917909,0.00003599472,0.0002614997,0.00001363581,0.02358499],"genre_scores_gemma":[0.9976291,0.0002599252,0.00008968575,0.0009132639,0.00007430346,0.000006233539,0.00009548546,0.00000428355,0.0009277598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009653646,"threshold_uncertainty_score":0.03273797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146398515160156,"score_gpt":0.2075671647604837,"score_spread":0.1929273132444681,"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."}}