{"id":"W1537825734","doi":"10.1108/00251740710828708","title":"Quantum leap breakthrough performance in acquisitions","year":2007,"lang":"en","type":"article","venue":"Management Decision","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Originality; Computer science; Set (abstract data type); Knowledge management; Process management; Process (computing); Core (optical fiber); Strategic management; Business; Marketing; Telecommunications","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":[0.0009415263,0.0002087395,0.0001813447,0.0007603759,0.0001948861,0.0002546819,0.0005456542,0.0000752603,0.0007974461],"category_scores_gemma":[0.00003803762,0.0001910746,0.00005873021,0.001489719,0.00005371989,0.00181155,0.000503643,0.0001378963,0.002556194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005741662,"about_ca_system_score_gemma":0.000003665505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001010378,"about_ca_topic_score_gemma":0.0001585851,"domain_scores_codex":[0.9981292,0.000003618793,0.0004716066,0.0004326182,0.0004861271,0.0004768432],"domain_scores_gemma":[0.9992348,0.00005791825,0.0001053527,0.000501823,0.00008635045,0.00001377773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003830924,0.0005129967,0.1498871,0.0003895666,0.00002870799,0.0002401418,0.00005124939,0.0004654168,0.00008044615,0.1540837,0.0254839,0.6683937],"study_design_scores_gemma":[0.0005643037,0.00001065193,0.5449664,0.000287613,0.00002787299,0.000004083184,0.000247887,0.004016161,0.0000736455,0.009008883,0.4404282,0.0003643295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7673391,0.0001277571,0.06975357,0.0004877318,0.001324488,0.0004699297,0.000002393575,0.0001966982,0.1602984],"genre_scores_gemma":[0.9962302,0.0001248055,0.001188214,0.001405607,0.0004342665,0.00001438557,0.00005252082,0.0000244527,0.0005255413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6680294,"threshold_uncertainty_score":0.9982204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04954116045549656,"score_gpt":0.300536376542988,"score_spread":0.2509952160874914,"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."}}