{"id":"W2382517145","doi":"","title":"Research on Speeding up Economic Development of Wenzhou and Taiwan","year":2011,"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":"Mainland China; Framework agreement; Business; Mainland; China mainland; China; International trade; Industrial organization; Economic growth; Economics; Geography","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":[0.0005016752,0.0001789128,0.0001283444,0.001043047,0.0005182563,0.001312456,0.0002576166,0.0002977898,0.00254216],"category_scores_gemma":[0.001536127,0.0001127911,0.0002214639,0.001932393,0.0002329286,0.001829038,0.000531457,0.0003342496,0.0001142077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574076,"about_ca_system_score_gemma":0.003161768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03397248,"about_ca_topic_score_gemma":0.03230165,"domain_scores_codex":[0.9998327,0.00004092666,0.00001434889,0.00002398747,0.00003116519,0.00005691107],"domain_scores_gemma":[0.9996179,0.00008334065,0.00009108344,0.00001566712,0.000116074,0.0000758826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002645079,0.0001521316,0.577774,0.0007972181,0.0001443878,0.003114791,0.008503059,0.009302943,0.00642476,0.1825134,0.009054226,0.2019546],"study_design_scores_gemma":[0.00008991495,0.0003788489,0.8151053,0.0003973235,0.0003102274,0.0006009982,0.03021519,0.02288273,0.007967493,0.02311026,0.09888539,0.00005630109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707085,0.00179712,0.001082372,0.002754966,0.00003388898,0.00003922644,0.0001138494,0.00002304515,0.02344705],"genre_scores_gemma":[0.9922247,0.002662928,0.001122523,0.00006914303,0.00001408956,0.00001546415,0.0001302944,0.000003383408,0.003757509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03397248,"threshold_uncertainty_score":0.06754947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3357460629429784,"score_gpt":0.3764113331041596,"score_spread":0.04066527016118127,"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."}}