{"id":"W2011233098","doi":"10.5539/ijef.v3n6p66","title":"The J-Curve at Industry Level: Evidence from Malaysia-China Trade","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Economics; Balance of trade; China; Currency; Short run; Balance (ability); International economics; Econometrics; International trade; Macroeconomics; Microeconomics; 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":[0.001205186,0.0002941761,0.000367721,0.002347466,0.0003575125,0.001159372,0.0004531131,0.0004891253,0.003969841],"category_scores_gemma":[0.006914796,0.000193551,0.0008124889,0.004439939,0.0007905738,0.001125822,0.001037087,0.0006306845,0.0007857438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005529593,"about_ca_system_score_gemma":0.0004655125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02303206,"about_ca_topic_score_gemma":0.01588548,"domain_scores_codex":[0.9992325,0.0001402717,0.0000834242,0.0001815526,0.0002027847,0.0001594806],"domain_scores_gemma":[0.9873892,0.003722146,0.005779594,0.001025312,0.001437797,0.0006459081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000172956,0.00004080366,0.9896404,0.00006349979,0.0001299159,0.0003468725,0.0004293561,0.000777238,0.0002518774,0.0003705358,0.0004884324,0.00728814],"study_design_scores_gemma":[0.000006936763,0.0000632659,0.9963277,0.00002103997,0.00005400834,0.000098551,0.000654679,0.001565415,0.0002520488,0.0001327429,0.0008161221,0.000007563856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969068,0.0004647022,0.0001582951,0.000135407,0.000005674818,0.000005547121,0.0004250281,0.00001021519,0.001888356],"genre_scores_gemma":[0.9988351,0.000247469,0.00005103287,0.00001874998,0.00001106039,0.000001750295,0.0004876213,0.000003833043,0.0003432472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02303206,"threshold_uncertainty_score":0.04579604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1637203436431328,"score_gpt":0.2481385127468293,"score_spread":0.08441816910369651,"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."}}