{"id":"W2012208958","doi":"10.1111/j.0040-747x.2004.00290.x","title":"Flying Geese In Asia: The Impacts of Japanese MNCs as a Source of Industrial Learning","year":2004,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Government of Jiangxi Province","keywords":"Multinational corporation; Negotiation; Industrialisation; Foreign direct investment; Product (mathematics); East Asia; Business; International trade; Metaphor; Politics; Economic geography; Economy; Economics; Political science; Market economy; China","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001246653,0.0001659729,0.000124711,0.0005877771,0.002682243,0.003753493,0.0003840344,0.0006075407,0.004180927],"category_scores_gemma":[0.001781992,0.00007679723,0.0001149663,0.0009436665,0.003116525,0.002231547,0.004366209,0.001045614,0.0001784421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003010191,"about_ca_system_score_gemma":0.00182714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04533219,"about_ca_topic_score_gemma":0.06055982,"domain_scores_codex":[0.9992995,0.0002850357,0.00001862458,0.00005306216,0.00007455085,0.0002691578],"domain_scores_gemma":[0.9979019,0.0006036376,0.0004427028,0.0001317243,0.0003513606,0.0005687057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002630419,0.0003380477,0.2857771,0.0003421545,0.0000430857,0.005869208,0.5796357,0.0009515755,0.00424568,0.04996474,0.004650823,0.06791886],"study_design_scores_gemma":[0.00001600171,0.0001778198,0.152225,0.0001617321,0.00003605504,0.0003360031,0.8050683,0.0008195101,0.0007328527,0.002731888,0.03765745,0.00003732574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764251,0.0002076774,0.0001339571,0.001184425,0.00001109863,0.000005185464,0.00001462339,0.000003396318,0.02201481],"genre_scores_gemma":[0.9982945,0.0001404535,0.00003595437,0.00008700007,0.000002869421,0.000002647295,0.000008023168,0.000001688243,0.001426741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04533219,"threshold_uncertainty_score":0.09013665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576874116196486,"score_gpt":0.2332589871385784,"score_spread":0.2174902459766136,"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."}}