{"id":"W4206591121","doi":"10.2139/ssrn.3990412","title":"Internet Appendix of 'Blood in the Water: The Value of Antitakeover Provisions During Market Shocks'","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Ontario Museum; Queen's University; University of Toronto","funders":"","keywords":"The Internet; Value (mathematics); Appendix; Business; Accounting; Actuarial science; Economics; Monetary economics; Biology; Computer science; Statistics; Mathematics; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008792682,0.0008327601,0.001028328,0.003973251,0.0008757952,0.001544548,0.001996494,0.002372972,0.8064088],"category_scores_gemma":[0.01726559,0.0007242623,0.0008373265,0.005424684,0.0003082466,0.00188502,0.00124859,0.001188226,0.3555349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731793,"about_ca_system_score_gemma":0.002531211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02977185,"about_ca_topic_score_gemma":0.04683708,"domain_scores_codex":[0.9994233,0.00006362941,0.00006690958,0.00006469545,0.000300461,0.00008097605],"domain_scores_gemma":[0.9806396,0.01292123,0.0007681706,0.0007811203,0.004358175,0.0005316998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000315421,0.00003773476,0.0001770223,0.0001252021,0.000003996259,0.00003249482,0.0000116863,0.0001905966,0.00003626197,0.0009095616,0.9919446,0.006499352],"study_design_scores_gemma":[0.000332325,0.00008222114,0.009863912,0.000426233,0.00001889932,0.0002155889,0.0001103618,0.001459327,0.0003613613,0.01538592,0.9716852,0.00005859292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001332709,0.0005599356,0.003635367,0.005690373,0.004290366,0.0003546042,0.8378376,0.002001738,0.1442973],"genre_scores_gemma":[0.02029966,0.002508859,0.008983276,0.005541285,0.003799123,0.0008512943,0.491986,0.002111955,0.4639186],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8064088,"threshold_uncertainty_score":0.2761343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184696907557767,"score_gpt":0.3021526715184001,"score_spread":0.2803057024428225,"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."}}