{"id":"W2171533913","doi":"","title":"Knowledge Flow in East Asia and Beyond","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"East Asia; China; Knowledge flow; Trademark; Geography; International trade; Political science; Economic geography; Economy; Business; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003347051,0.0004964328,0.001339477,0.001665667,0.0001677708,0.0001805195,0.0007636969,0.0007638703,0.0001544823],"category_scores_gemma":[0.00063707,0.0006889144,0.0002033963,0.00025472,0.0005583458,0.0002893325,0.001395074,0.002499432,0.0001930057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238105,"about_ca_system_score_gemma":0.0003854447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003242503,"about_ca_topic_score_gemma":0.001469142,"domain_scores_codex":[0.9951247,0.0001622369,0.001460636,0.002041601,0.00004889035,0.001161928],"domain_scores_gemma":[0.9976201,0.0003297544,0.0003892355,0.00129539,0.00005046819,0.0003150695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002588528,0.001042239,0.6040463,0.0008196653,0.0002310218,0.0001260537,0.005211687,0.006774758,0.00001226198,0.03166774,0.0007525104,0.3490569],"study_design_scores_gemma":[0.005224785,0.0003525242,0.4028891,0.0004316699,0.00001115224,0.0001358247,0.00121357,0.1524362,0.00007651181,0.1867373,0.2466723,0.003819016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5535542,0.003040154,0.000003990427,0.0005768917,0.000820992,0.0006931266,0.0002861172,0.00002915011,0.4409954],"genre_scores_gemma":[0.9627387,0.03275329,0.0008591365,0.00006703647,0.0004720369,0.0002613958,0.00008189784,0.0001053821,0.00266116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4383342,"threshold_uncertainty_score":0.9998018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05368978535610067,"score_gpt":0.2809609502676199,"score_spread":0.2272711649115192,"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."}}