{"id":"W2767060735","doi":"10.5465/ambpp.2016.10512abstract","title":"Foreign Market Corruption and the Structure of Subsidiaries in Emerging Markets","year":2016,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Nonmarket forces; Language change; Business; Bargaining power; Market power; Private sector; Internationalization; Subsidiary; Equity (law); Industrial organization; Market economy; Economics; Multinational corporation; International trade; Factor market; Finance; Monopoly; Microeconomics; Political science; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.001281936,0.00007245522,0.0001479526,0.0001291417,0.0000902838,0.00001900259,0.0001886678,0.00006103956,0.0004040853],"category_scores_gemma":[0.00008047433,0.00004686133,0.00002601078,0.0001561059,0.0003603393,0.0002846813,0.0001099468,0.00005634866,0.000001446731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005769459,"about_ca_system_score_gemma":0.000009599397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003569149,"about_ca_topic_score_gemma":0.00002102923,"domain_scores_codex":[0.9991933,0.00002209681,0.0002797746,0.0001538111,0.0001809837,0.0001700247],"domain_scores_gemma":[0.9996576,0.00007992095,0.0001876386,0.00002508591,0.00002050133,0.00002920651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003166999,0.00001186262,0.07922088,0.0001369361,0.00004266768,1.613603e-7,0.006965888,3.020806e-7,0.0002729736,0.7202448,0.002094263,0.1906926],"study_design_scores_gemma":[0.003550375,0.00001444009,0.7953876,0.0003639875,0.00004703163,0.000001046417,0.02688213,0.00007355602,0.0006751966,0.05880746,0.1139379,0.0002593264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8885483,0.00007582419,0.00003075084,0.007439795,0.00005452382,0.0004118303,0.000001915178,0.00001538593,0.1034216],"genre_scores_gemma":[0.9941906,0.001896571,0.0002567465,0.0001551632,0.00002443601,0.000007996377,1.587553e-7,0.000004408559,0.003463861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7161667,"threshold_uncertainty_score":0.442445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397793934192172,"score_gpt":0.2598738269445012,"score_spread":0.2458958876025795,"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."}}