{"id":"W1506485548","doi":"10.1111/j.1468-0084.2012.00726.x","title":"Multinational Exposure and the Quality of New Chinese Exports","year":2012,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Multinational corporation; Exploit; Business; China; Competition (biology); Quality (philosophy); International trade; Product (mathematics); Industry of China; Industrial organization; International economics; Economics","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":[0.0007624265,0.0001402142,0.0002353581,0.001167239,0.0003233927,0.0009175516,0.0002448467,0.0002758169,0.004152831],"category_scores_gemma":[0.003507188,0.00011231,0.0002140618,0.001610018,0.0004140094,0.0006403716,0.0007409687,0.0003572253,0.0002014441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000516461,"about_ca_system_score_gemma":0.0002337025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143531,"about_ca_topic_score_gemma":0.01489171,"domain_scores_codex":[0.9996238,0.00005817267,0.00005093613,0.000101485,0.0001005752,0.00006507826],"domain_scores_gemma":[0.9929299,0.0009978616,0.004444272,0.0004288374,0.0004843685,0.0007147805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002027772,0.00001774196,0.9977355,0.000008857009,0.00003182679,0.00007168429,0.0002394443,0.0001366616,0.0002427603,0.00008572036,0.00004296972,0.001366628],"study_design_scores_gemma":[8.739168e-7,0.00001053928,0.9992923,0.000002666461,0.000007523664,0.0000258843,0.0002177918,0.0002343984,0.00005153873,0.00002554064,0.0001288631,0.000002153302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992908,0.00005343591,0.00002782997,0.00002416531,0.000001436545,0.000001714001,0.00009132775,0.000001083828,0.00050818],"genre_scores_gemma":[0.9995971,0.0000385164,0.0000164602,0.000004708337,0.000005018067,8.99009e-7,0.0001106995,6.023321e-7,0.0002260065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01143531,"threshold_uncertainty_score":0.0227375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04489256879484641,"score_gpt":0.241076719476007,"score_spread":0.1961841506811606,"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."}}