{"id":"W3217252394","doi":"10.1111/jbfa.12577","title":"The impact of takeover anticipation on rival firms","year":2021,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University; Concordia University","funders":"","keywords":"Hubris; Collusion; Anticipation (artificial intelligence); Bidding; Premise; Business; Rumor; Industrial organization; Microeconomics; Mechanism (biology); Economics; Tender offer; Monetary economics; Finance; Corporate governance; Shareholder; Public relations; Computer science","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":[0.001621855,0.0001721123,0.000310413,0.0008251183,0.0003256683,0.001698346,0.0003483868,0.0005103885,0.002583859],"category_scores_gemma":[0.01638938,0.0001379737,0.0001713827,0.0006131463,0.0002420486,0.001000255,0.0008650087,0.0007988475,0.000503451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000487812,"about_ca_system_score_gemma":0.0002499169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007684077,"about_ca_topic_score_gemma":0.009128393,"domain_scores_codex":[0.9991148,0.0002738166,0.00006764294,0.0001423847,0.0002174568,0.000183854],"domain_scores_gemma":[0.9701918,0.01234418,0.01340942,0.001319732,0.001451417,0.001283622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002120748,0.0001202617,0.9906703,0.00001824367,0.00005564294,0.0001709219,0.0002253058,0.001390975,0.0007003166,0.0003540795,0.0004524444,0.005629374],"study_design_scores_gemma":[0.000004777122,0.0001403449,0.9947378,0.000007533516,0.00001918017,0.00009449015,0.0003778586,0.003337874,0.0005135242,0.0002067044,0.0005498513,0.00001004495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998285,0.00008177024,0.000116053,0.00007167865,0.000002832559,0.000005614439,0.0004190672,0.000006482901,0.001011381],"genre_scores_gemma":[0.9991965,0.00003038288,0.00003806638,0.000007239258,0.000006989907,0.000001761964,0.0004803901,9.472359e-7,0.0002375771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007684077,"threshold_uncertainty_score":0.0152787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670801995107579,"score_gpt":0.2600652134796805,"score_spread":0.2333571935286047,"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."}}