{"id":"W3125041479","doi":"","title":"Policy Uncertainty and Mergers and Acquisitions","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Prudence; Mergers and acquisitions; Shareholder; Business; Stock (firearms); Payment; Monetary economics; Value (mathematics); Economics; Accounting; Finance; Corporate governance","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":[0.001915437,0.0001889466,0.0002901149,0.0008035945,0.000525649,0.001981162,0.000230779,0.0008889045,0.003417152],"category_scores_gemma":[0.02623471,0.0001559175,0.0002491636,0.001057177,0.0007898295,0.001680192,0.001016753,0.001134202,0.0002518753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010262,"about_ca_system_score_gemma":0.0008860662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002184016,"about_ca_topic_score_gemma":0.001716968,"domain_scores_codex":[0.9985324,0.0005476368,0.0001260302,0.00015202,0.0004012236,0.000240626],"domain_scores_gemma":[0.9457763,0.02521758,0.02531006,0.0006223402,0.001158753,0.00191495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006486866,0.000441514,0.8766696,0.0001492076,0.0002684075,0.0008386826,0.001171765,0.01155188,0.0006845144,0.05040644,0.00188255,0.05528673],"study_design_scores_gemma":[0.00003929028,0.0003616886,0.8762806,0.0002462363,0.000139355,0.001022843,0.002686346,0.01416335,0.0009439149,0.0931706,0.01084938,0.00009646488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684246,0.00834873,0.002427792,0.005699992,0.00005804794,0.00001906366,0.0002117534,0.00001785424,0.01479226],"genre_scores_gemma":[0.9982192,0.001119501,0.00009423534,0.00007125206,0.0000495008,0.000003121069,0.00004583855,0.000001463125,0.0003958721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003417152,"threshold_uncertainty_score":0.01143157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00858522360475683,"score_gpt":0.2161237147430376,"score_spread":0.2075384911382808,"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."}}