{"id":"W2374328145","doi":"","title":"Heterogeneity, Productivity of Foreign Enterprises and Agglomeration","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linkage (software); Economies of agglomeration; Productivity; Business; Economic geography; Industrial organization; Joint venture; Economics; Commerce; Microeconomics; Economic growth","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":[0.001078983,0.0002053234,0.0003720323,0.00174714,0.0005114124,0.001399694,0.0003697998,0.0003464453,0.003053307],"category_scores_gemma":[0.005978281,0.0001235455,0.0005150155,0.00199962,0.0009435352,0.001325801,0.00145606,0.0003809122,0.0003865803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269574,"about_ca_system_score_gemma":0.0005837562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01697081,"about_ca_topic_score_gemma":0.01282173,"domain_scores_codex":[0.9990262,0.0001988603,0.00005323466,0.0001790954,0.0002036117,0.0003390104],"domain_scores_gemma":[0.9952419,0.001690101,0.001760938,0.000440961,0.0003454979,0.0005207001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000856574,0.00003449401,0.9847136,0.00002433272,0.0001566103,0.0005191612,0.00105722,0.004024827,0.0003366629,0.002719827,0.0002356476,0.006091991],"study_design_scores_gemma":[0.0000133312,0.00005061457,0.9884011,0.00002254123,0.00007395738,0.0002279617,0.004092731,0.003146951,0.0003794435,0.001797221,0.001781396,0.00001284171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956107,0.00026942,0.0006496695,0.00009637997,0.0000027624,0.000007798431,0.0001857046,0.000008113092,0.003169555],"genre_scores_gemma":[0.9995044,0.00004752825,0.00003444379,0.000003362589,0.00000300773,0.000002029008,0.0001125635,0.000001013514,0.0002915451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01697081,"threshold_uncertainty_score":0.03374404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08245008315441635,"score_gpt":0.3116236068106746,"score_spread":0.2291735236562582,"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."}}