{"id":"W3194367395","doi":"10.3390/businesses1020008","title":"Impact of COVID-19 on Mergers, Acquisitions & Corporate Restructurings","year":2021,"lang":"en","type":"article","venue":"Businesses","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mergers and acquisitions; Coronavirus disease 2019 (COVID-19); Restructuring; Recession; Business; Value (mathematics); Business cycle; Pandemic; Economics; Industrial organization; Market economy; Finance; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002204459,0.0001782773,0.0004201298,0.0003058012,0.0001025197,0.00005471075,0.0001751291,0.0001018598,0.002971131],"category_scores_gemma":[0.002991259,0.0001920116,0.0001690124,0.0008845451,0.00008680289,0.0001958024,0.00007234112,0.0001036412,0.0003484525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003110085,"about_ca_system_score_gemma":0.0005661384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308067,"about_ca_topic_score_gemma":0.00007142183,"domain_scores_codex":[0.9987811,0.00001942805,0.0004902169,0.0003802186,0.00005513119,0.0002739115],"domain_scores_gemma":[0.9983419,0.0002069476,0.0005843917,0.0005569178,0.0001295422,0.0001803256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003900935,0.0007692436,0.6525069,0.0009361545,0.0006045115,0.0001958228,0.001701859,0.0539569,0.008324046,0.150695,0.129391,0.0005283736],"study_design_scores_gemma":[0.001536247,0.00009696643,0.7702823,0.00007610179,0.00002796498,0.00005188746,0.00004701551,0.0001434516,0.001121772,0.08447026,0.1414879,0.0006581361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989234,0.0009545627,0.002250757,0.003240864,0.0004080793,0.0001213381,0.0006200825,0.00006659587,0.003103705],"genre_scores_gemma":[0.9968579,0.0002997031,0.0004441523,0.001370879,0.0001071584,0.000007095279,0.0001195224,0.00002817333,0.0007653516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1177754,"threshold_uncertainty_score":0.9979403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147498103453642,"score_gpt":0.316894110826829,"score_spread":0.2021443004814648,"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."}}