{"id":"W2117365281","doi":"10.3968/j.css.1923669720080404.002","title":"Beijing-Tianjin-Hebei Technological Innovation under the Backgrand of International Industrial Transfer Trend","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; Political science; Technology transfer; Business; Economy; International trade; Economics; China","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":[0.0005603098,0.0005643796,0.0003598457,0.00138715,0.002263854,0.003108141,0.0005251191,0.00106546,0.01862713],"category_scores_gemma":[0.0005443196,0.0002760413,0.0005114205,0.003108447,0.0008708129,0.001336239,0.001842959,0.0008720165,0.002444611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004205607,"about_ca_system_score_gemma":0.01372803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02118103,"about_ca_topic_score_gemma":0.02377749,"domain_scores_codex":[0.9994026,0.00004454795,0.0000488491,0.0001417847,0.0001846331,0.0001774814],"domain_scores_gemma":[0.9997544,0.00002482128,0.00003407701,0.00003669629,0.00006762315,0.00008241017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005334756,0.0002232578,0.07058021,0.001950932,0.0001981881,0.003295326,0.004024764,0.008215473,0.02165729,0.2953307,0.06691858,0.5270718],"study_design_scores_gemma":[0.0001639619,0.0002812483,0.2899607,0.0002475023,0.0001693584,0.001503903,0.001766094,0.005985765,0.007866951,0.02806503,0.6639121,0.0000773201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4464094,0.01236007,0.01418124,0.01037681,0.001224242,0.0007028895,0.002861136,0.0009410367,0.5109432],"genre_scores_gemma":[0.6995399,0.005938933,0.007814454,0.000841496,0.000157038,0.0003976694,0.002179558,0.00008635131,0.2830447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02118103,"threshold_uncertainty_score":0.06231397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521360345604336,"score_gpt":0.2412241014690318,"score_spread":0.2060104980129884,"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."}}