{"id":"W2253844480","doi":"10.2139/ssrn.2726229","title":"Lame Duck Presidency and Stock Returns","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Presidency; Stock (firearms); Business; Economics; Financial economics; Financial system; Political science; Geography; Law; Politics","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":[0.001249147,0.0000985269,0.0002384326,0.0009086853,0.001351175,0.003574235,0.000280184,0.001098249,0.01563701],"category_scores_gemma":[0.0120435,0.00008391197,0.00009863199,0.0005361098,0.000983692,0.0007090357,0.0007992507,0.001945615,0.002044732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826969,"about_ca_system_score_gemma":0.001118163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312585,"about_ca_topic_score_gemma":0.04862287,"domain_scores_codex":[0.9992073,0.0001647163,0.00003258063,0.00009097624,0.0002132933,0.0002911023],"domain_scores_gemma":[0.9928525,0.002787519,0.001767936,0.0001986861,0.001035943,0.001357429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000933166,0.0004988104,0.6276826,0.00007821608,0.0001497398,0.00130905,0.003143933,0.002005818,0.001148607,0.1879043,0.06908888,0.1060569],"study_design_scores_gemma":[0.00008369557,0.0002393444,0.8795313,0.0001241555,0.00007792853,0.0005409328,0.007243145,0.002920431,0.001116288,0.02866612,0.07939627,0.0000604165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7691291,0.001702331,0.0002084887,0.01223436,0.0002135385,0.00001567628,0.0001645908,0.00001803445,0.2163139],"genre_scores_gemma":[0.9722978,0.000218453,0.00003028103,0.0006783017,0.0001020441,0.000003713527,0.00003578227,0.000007861267,0.02662583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01563701,"threshold_uncertainty_score":0.052311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469963075022732,"score_gpt":0.2255306851887854,"score_spread":0.2108310544385581,"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."}}