{"id":"W3201636457","doi":"10.3390/jrfm14090451","title":"Mergers and Acquisitions Risk Modeling","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mergers and acquisitions; Context (archaeology); Risk management; Business; Database transaction; Key (lock); Risk analysis (engineering); Computer science; Process management; Finance; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005418255,0.00005191708,0.000125119,0.00006777044,0.000423378,0.0000470478,0.00007171607,0.00005570805,0.00004717747],"category_scores_gemma":[0.000170668,0.00004552327,0.00003909766,0.0001144687,0.00008006633,0.0001057115,0.00007137599,0.0001449314,0.000002308886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000301728,"about_ca_system_score_gemma":0.00003642197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005120784,"about_ca_topic_score_gemma":0.00006682267,"domain_scores_codex":[0.9994162,0.00004888501,0.0002142069,0.00009554912,0.0001023967,0.0001227069],"domain_scores_gemma":[0.9996746,0.00003338165,0.0001361834,0.00004652951,0.00004510927,0.00006422385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000020015,0.00006018763,0.02366814,0.00001092023,0.00004717209,0.0001086393,0.002443876,0.0003351805,0.000002121435,0.287284,0.001024665,0.6849951],"study_design_scores_gemma":[0.001155489,0.00007626034,0.09712897,0.0001225438,0.0002476358,0.00001112451,0.01463641,0.0008881267,0.00001927531,0.4112013,0.4741758,0.0003370953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9234921,0.002316291,0.05569353,0.0007673161,0.0003982174,0.0000695096,0.00000668749,0.00001690001,0.01723943],"genre_scores_gemma":[0.9373268,0.0532465,0.008970641,0.00008916597,0.00009353489,0.000001193928,2.681452e-7,0.00000244655,0.000269463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6846579,"threshold_uncertainty_score":0.3256325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167562090399694,"score_gpt":0.240603044001124,"score_spread":0.2289274230971271,"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."}}