{"id":"W2942106612","doi":"","title":"Core or periphery? The effects of country-of-origin agglomerations on the within-country expansion of MNEs","year":2017,"lang":"en","type":"article","venue":"EUR Research Repository (Erasmus University Rotterdam)","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Urban agglomeration; Economic geography; Multinational corporation; China; Foreign direct investment; Ethnic group; Pace; Subsidiary; Business; Geography; International trade; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007827992,0.0002331134,0.0003365039,0.0008314196,0.0007621446,0.001557351,0.0004796044,0.0003407783,0.01903971],"category_scores_gemma":[0.007715963,0.0001125092,0.0004118589,0.0009747712,0.00102381,0.001614038,0.002090319,0.0005141549,0.0005455951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016322,"about_ca_system_score_gemma":0.0009423659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03407257,"about_ca_topic_score_gemma":0.04351201,"domain_scores_codex":[0.9993279,0.000204756,0.00002439205,0.000141626,0.00007472031,0.0002265995],"domain_scores_gemma":[0.9915534,0.003089175,0.002470396,0.0004989888,0.0006754094,0.001712672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005211544,0.0001215077,0.9545127,0.00009253941,0.0001424356,0.0007015303,0.002650616,0.003846256,0.001220396,0.006394512,0.002168448,0.02762782],"study_design_scores_gemma":[0.00001539444,0.00009589562,0.9886085,0.00004951518,0.00008036209,0.00005460644,0.004185948,0.002677823,0.000441965,0.0009905292,0.00278889,0.00001054099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932724,0.0001762276,0.0002783815,0.000284812,0.00000689246,0.00001317304,0.000184925,0.00001694778,0.00576623],"genre_scores_gemma":[0.9988857,0.00005864052,0.00006628671,0.00001601002,0.000004684502,0.000004595096,0.00006386956,0.000003574626,0.0008966902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03407257,"threshold_uncertainty_score":0.06774849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06814438754602038,"score_gpt":0.3008450640723442,"score_spread":0.2327006765263239,"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."}}