{"id":"W2972621142","doi":"10.5430/ijfr.v10n6p241","title":"Did Inter-Regional Trade Agreements Bring Mutual Benefits? An Empirical Scheme of Indonesian Commodity Exports in Asean-China Free Trade Area","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Indonesian; Commodity; International trade; International economics; Economics; International free trade agreement; Comparative advantage; Stock (firearms); Business; Free trade","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":[0.001063775,0.0001207069,0.0001654215,0.0008590578,0.0005554328,0.00149027,0.0002674101,0.0002614626,0.003624767],"category_scores_gemma":[0.003891707,0.00008429952,0.0002166698,0.001430655,0.0008583001,0.001404864,0.001007626,0.000704008,0.00029663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070726,"about_ca_system_score_gemma":0.000550151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008885823,"about_ca_topic_score_gemma":0.009417378,"domain_scores_codex":[0.9995734,0.000163255,0.00003561933,0.00006362945,0.00007595162,0.00008821034],"domain_scores_gemma":[0.9947124,0.002304199,0.002035884,0.0002250358,0.0003168982,0.0004056589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001101411,0.0001210339,0.985409,0.00002490197,0.00004557394,0.0004487952,0.001457117,0.001391573,0.0002037858,0.003027729,0.0004580866,0.007302367],"study_design_scores_gemma":[0.000008000425,0.00006127004,0.98588,0.00003501057,0.00004249332,0.0001882576,0.007287177,0.003491706,0.0002121601,0.0007337386,0.002052674,0.000007518801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964122,0.00006340373,0.00006059496,0.00009902997,0.000001272289,0.000003651912,0.00007580042,0.000001823795,0.003282137],"genre_scores_gemma":[0.9994723,0.00004695882,0.00002797695,0.000008624656,0.000001840495,0.000002256847,0.00007721348,8.017355e-7,0.0003621432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008885823,"threshold_uncertainty_score":0.01766825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1979254362302656,"score_gpt":0.3502912953350287,"score_spread":0.1523658591047632,"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."}}