{"id":"W2004813362","doi":"10.1139/l05-115","title":"Post-operating performance of construction mergers and acquisitions of the United States of America","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mergers and acquisitions; Earnings before interest and taxes; Operating margin; Diversification (marketing strategy); Stock (firearms); Cash flow; Event study; Economics; Maximization; Stock market; Econometrics; Business; Financial economics; Industrial organization; Return on assets; Stock exchange; Finance; Marketing; Microeconomics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008796142,0.0001502504,0.0001473605,0.0008267963,0.0003112808,0.0006024434,0.0001619713,0.0002606652,0.001018687],"category_scores_gemma":[0.003534168,0.00007745268,0.0001193444,0.0008036746,0.0002892654,0.0004479933,0.0004171038,0.0002847624,0.0002323873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007437706,"about_ca_system_score_gemma":0.0005452977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01581357,"about_ca_topic_score_gemma":0.0395253,"domain_scores_codex":[0.9996709,0.0000519387,0.00003246192,0.00003861925,0.000122105,0.00008403553],"domain_scores_gemma":[0.9954821,0.0005485868,0.002212694,0.0001255325,0.00110024,0.0005308748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001399638,0.0001110386,0.9896018,0.000005603305,0.00002277293,0.0001277758,0.0002944447,0.0002321716,0.0005523859,0.00005981174,0.0003056212,0.008546567],"study_design_scores_gemma":[9.584547e-7,0.00006391655,0.999288,0.000001258158,0.000003017024,0.00005223607,0.0001260219,0.0001333925,0.0001335682,0.000009599995,0.0001856453,0.000002430641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999426,0.00004409322,0.00001781468,0.00002400482,0.000001103026,0.000001756477,0.0001018362,0.000001792835,0.0003817625],"genre_scores_gemma":[0.9993122,0.00003999545,0.00002105093,0.00000789992,0.000003572849,0.000001954874,0.0003094524,7.20627e-7,0.0003031888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01581357,"threshold_uncertainty_score":0.03144306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003558526896312117,"score_gpt":0.1440138306499692,"score_spread":0.1404553037536571,"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."}}