{"id":"W2382917320","doi":"","title":"Technology Spillovers of Service FDI and Productivity Growth of Chinese Service Industries","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Foreign direct investment; Tertiary sector of the economy; Total factor productivity; Service (business); Technological change; Technical progress; Economics; Business; Industrial organization; International trade; Economy; Economic growth; Macroeconomics","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":[0.000745944,0.0002978974,0.0002657302,0.001768159,0.0003031063,0.0008123364,0.0001242898,0.0002731101,0.002959934],"category_scores_gemma":[0.002859681,0.0001117479,0.000600216,0.00135296,0.0006467371,0.0007302378,0.0006651705,0.0004430178,0.0001869935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904158,"about_ca_system_score_gemma":0.002093144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05079009,"about_ca_topic_score_gemma":0.03534686,"domain_scores_codex":[0.9997341,0.00004338421,0.0000181879,0.00003064215,0.00005225032,0.0001214783],"domain_scores_gemma":[0.9980433,0.0008525475,0.0005242552,0.00007294343,0.0003211155,0.0001859061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002819776,0.0001146582,0.9088467,0.0001517376,0.0001867188,0.001368874,0.001411784,0.024416,0.004338605,0.01938062,0.0009059637,0.03859627],"study_design_scores_gemma":[0.00001802558,0.00007265355,0.9791741,0.0000482976,0.0001852014,0.0002029161,0.0009714381,0.01240027,0.001682253,0.003474106,0.001752884,0.00001784685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933036,0.0003660603,0.000515566,0.0002853326,0.000006986533,0.000006271581,0.0001612613,0.00001360577,0.005341338],"genre_scores_gemma":[0.9987912,0.0003062524,0.0000542138,0.0000110115,0.000008005761,0.000002685989,0.00008473752,9.424123e-7,0.0007410035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05079009,"threshold_uncertainty_score":0.1009889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04221596868773,"score_gpt":0.3170661814181825,"score_spread":0.2748502127304525,"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."}}