{"id":"W2378669910","doi":"","title":"The Empirical Analysis of Complementarity and Competitiveness in Creative Goods between China and the Main Countries of ASEAN","year":2013,"lang":"en","type":"article","venue":"International Business Research","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Complementarity (molecular biology); China; Economics; International trade; Index (typography); International economics; Competition (biology); Revealed comparative advantage; Business; Comparative advantage; Political science","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":[0.0008019785,0.0002862083,0.0003071445,0.003273893,0.0008874582,0.001477633,0.0002378268,0.000229398,0.004048085],"category_scores_gemma":[0.002418463,0.0001050655,0.0006196523,0.004871421,0.0008967991,0.0008602247,0.001000868,0.0003434742,0.00023747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442421,"about_ca_system_score_gemma":0.001382324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03989619,"about_ca_topic_score_gemma":0.04379386,"domain_scores_codex":[0.9994193,0.0001357707,0.00003527313,0.00007301259,0.000164125,0.0001724261],"domain_scores_gemma":[0.9973677,0.001204354,0.0005144793,0.00009141141,0.0004813454,0.0003408518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001722183,0.00006825395,0.9765,0.00006752583,0.0002224124,0.0008064691,0.0008833458,0.002669694,0.0009270747,0.004786276,0.0005024676,0.01239437],"study_design_scores_gemma":[0.000009730757,0.00005339462,0.9895508,0.00003029297,0.00008201707,0.0002260449,0.003213811,0.004123556,0.0005493099,0.0007519623,0.001395078,0.0000140809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935548,0.000167992,0.0001817542,0.00003459065,0.000001816118,0.000005452941,0.0001707618,0.000001985093,0.005880988],"genre_scores_gemma":[0.9992686,0.00005698021,0.00007019061,0.000005957229,0.000002119112,0.000003191775,0.0002558734,7.196932e-7,0.0003364572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03989619,"threshold_uncertainty_score":0.07932794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09865170073494985,"score_gpt":0.3732830159094737,"score_spread":0.2746313151745238,"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."}}