{"id":"W2783488534","doi":"10.5539/ibr.v11n2p33","title":"Antecedents of Successful IT M&As","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Complementarity (molecular biology); Narcissism; Pairwise comparison; Microeconomics; Industrial organization; Business; Marketing; Empirical research; Economics; Social psychology; Psychology; Mathematics","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":[0.001839646,0.0001977123,0.0002033765,0.001485437,0.001255714,0.001941515,0.0004225766,0.0008871738,0.008195262],"category_scores_gemma":[0.01479377,0.00015516,0.0002203507,0.001430078,0.001984609,0.001080983,0.001512486,0.001265657,0.0005366998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008410027,"about_ca_system_score_gemma":0.001665105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002372619,"about_ca_topic_score_gemma":0.004106589,"domain_scores_codex":[0.9982839,0.000391689,0.0001879818,0.0001114512,0.0006250488,0.0003998849],"domain_scores_gemma":[0.9599252,0.008941954,0.01720476,0.001145231,0.002702235,0.01008063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009673656,0.0009975774,0.9677036,0.0001172904,0.00006137596,0.0007828212,0.001329919,0.001021075,0.0007409185,0.008011491,0.001393983,0.01774337],"study_design_scores_gemma":[0.00001580747,0.0002824361,0.9820864,0.00009159027,0.00003618197,0.0006538534,0.005358727,0.001833865,0.0005354015,0.005415124,0.003663015,0.00002770144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851657,0.0002268041,0.0003864125,0.001220684,0.00002249918,0.00004967717,0.00007728067,0.0000128218,0.01283814],"genre_scores_gemma":[0.9992725,0.0001115622,0.0001795295,0.00003734574,0.00001560859,0.000008846812,0.00003631059,0.000001233747,0.0003370155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008195262,"threshold_uncertainty_score":0.02741587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09698602250170094,"score_gpt":0.376851295625404,"score_spread":0.2798652731237031,"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."}}