{"id":"W1976830299","doi":"10.1002/smj.670","title":"Performance of serial acquirers: toward an acquisition program perspective","year":2008,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":393,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Perspective (graphical); Scope (computer science); Business; Industrial organization; Marketing; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001623421,0.0002150204,0.0002133824,0.002312764,0.0002354223,0.00136425,0.000331866,0.000259993,0.003469413],"category_scores_gemma":[0.007843333,0.000069368,0.0001351695,0.001340232,0.0007263938,0.001248469,0.00116458,0.0005928557,0.0002791263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005051948,"about_ca_system_score_gemma":0.0005251657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0029787,"about_ca_topic_score_gemma":0.002314561,"domain_scores_codex":[0.9991431,0.0003362121,0.0000580349,0.0001029776,0.0002414063,0.0001182832],"domain_scores_gemma":[0.9813005,0.005940857,0.008886353,0.0004399613,0.00142594,0.002006282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001344656,0.0002664716,0.984704,0.00001748199,0.00003922989,0.000121564,0.0006129064,0.00174148,0.0004957632,0.001351432,0.0003619916,0.01015323],"study_design_scores_gemma":[0.000009425029,0.0004369115,0.9909667,0.00001845533,0.00001982863,0.0001119271,0.001173088,0.005059716,0.000607483,0.0008702498,0.0007174445,0.000008816382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954154,0.00006603941,0.0002816804,0.000151829,0.000002124991,0.000005494498,0.00008205807,0.000006193711,0.003989086],"genre_scores_gemma":[0.999535,0.00002502536,0.00007128218,0.00001058614,0.0000112079,0.000001661194,0.00008425158,0.00000176582,0.0002592489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003469413,"threshold_uncertainty_score":0.01160634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04171046683492127,"score_gpt":0.2537297223897974,"score_spread":0.2120192555548761,"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."}}