{"id":"W2788400374","doi":"10.1051/matecconf/201815006017","title":"Determining The Optimal Mix of Institutional Geopolitical Power And ASEAN Corporate Governance on the Firm Value of Malaysia’s Multinational Corporations (MNCs)","year":2018,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geopolitics; Multinational corporation; Corporate governance; Business; Value (mathematics); Panel data; Economic system; International trade; Economics; Political science; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.001080113,0.0001627187,0.0001356787,0.0008204475,0.0002305437,0.001235753,0.0001475848,0.0001977284,0.001046038],"category_scores_gemma":[0.003236452,0.00009127179,0.0001709186,0.0009790045,0.0003726167,0.0007767092,0.0004798412,0.0002579626,0.0001250027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008630374,"about_ca_system_score_gemma":0.0005784985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007417569,"about_ca_topic_score_gemma":0.0151005,"domain_scores_codex":[0.9994696,0.0002126633,0.00004788514,0.00007281669,0.0001050568,0.00009194399],"domain_scores_gemma":[0.99681,0.0008872293,0.001527785,0.0001332122,0.0004057808,0.0002359648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002207261,0.00003420258,0.988432,0.00001484313,0.00005089268,0.000128598,0.0001703754,0.002535632,0.0003802068,0.001070244,0.0001836864,0.006977223],"study_design_scores_gemma":[0.000003780405,0.00005469508,0.9853909,0.00002742638,0.00003453733,0.00009006942,0.001194258,0.0105411,0.0007680311,0.0008399827,0.001045261,0.0000100202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980133,0.00006712636,0.0002770287,0.00005201349,9.041361e-7,0.000003458505,0.00007266006,0.000001758253,0.001511753],"genre_scores_gemma":[0.9996259,0.00004291361,0.0001161641,0.000005032091,0.00000134958,0.000001646974,0.00005335848,4.440556e-7,0.0001531458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007417569,"threshold_uncertainty_score":0.01474875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095379337052737,"score_gpt":0.2407115833114237,"score_spread":0.2097577899408964,"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."}}