{"id":"W6983487391","doi":"","title":"MERGERS AND ACQUISITIONS IN THE LENS OF CORPORATE GOVERNANCE: SOCIOMETRIC AND BIBLIOMETRIC ANALYSIS OF INTERNATIONAL REFERENCE AUTHORS","year":2017,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Corporate governance; Bibliometrics; Population; Mergers and acquisitions; Hierarchy; European population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007705707,0.0002675448,0.000554305,0.07367147,0.00106618,0.005445204,0.0005477134,0.0005324985,0.002255083],"category_scores_gemma":[0.04653619,0.0001275228,0.0004520161,0.08542944,0.0008680997,0.004216721,0.002166426,0.0002814893,0.0005132116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325578,"about_ca_system_score_gemma":0.001670682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001572732,"about_ca_topic_score_gemma":0.002197672,"domain_scores_codex":[0.9869026,0.003363808,0.001786607,0.0007816002,0.006831713,0.0003336967],"domain_scores_gemma":[0.9507593,0.02380596,0.01443106,0.001966503,0.008120769,0.0009164728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001278212,0.0001344953,0.8212897,0.001348643,0.0003682741,0.0004059245,0.01215757,0.001092278,0.001556136,0.009999045,0.003981672,0.1475384],"study_design_scores_gemma":[0.00001355167,0.0001026601,0.9393451,0.0003979705,0.0001923527,0.0007758744,0.02020964,0.005151504,0.001444287,0.006980882,0.02532551,0.00006056948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575567,0.005656913,0.005638482,0.0008874351,0.00007168238,0.0001713689,0.00418515,0.0001202953,0.02571215],"genre_scores_gemma":[0.9897789,0.001524226,0.005129531,0.00003667851,0.0001672171,0.0001459549,0.002252515,0.00002067355,0.0009442976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9263285,"threshold_uncertainty_score":0.04075211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08333013726882052,"score_gpt":0.3483636586308983,"score_spread":0.2650335213620778,"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."}}