{"id":"W2326780107","doi":"10.1177/139156141101200201","title":"An India–China FTA","year":2011,"lang":"en","type":"article","venue":"South Asia Economic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Centre for International Governance Innovation","funders":"Industry Canada","keywords":"China; Computable general equilibrium; Economics; International trade; Clothing; Investment (military); Liberalization; Balance of trade; Free trade; International economics; Free trade agreement; Distribution (mathematics); Bilateral trade; Economic liberalization; Geography; Market economy; Macroeconomics; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005374429,0.0002401501,0.0001702049,0.0003430822,0.001677843,0.002125341,0.0005543969,0.001007084,0.02371746],"category_scores_gemma":[0.0008631168,0.0001837383,0.0008630744,0.0007201494,0.0004551245,0.001457645,0.001257343,0.001362735,0.001545759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002463114,"about_ca_system_score_gemma":0.003014535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04021842,"about_ca_topic_score_gemma":0.04395365,"domain_scores_codex":[0.9997125,0.00005441565,0.000006639844,0.00005984044,0.00006184376,0.0001046367],"domain_scores_gemma":[0.9996954,0.00005427489,0.00002810009,0.00006305486,0.00006734885,0.00009175933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008191871,0.0003090987,0.02402019,0.0001723896,0.0001696276,0.003886353,0.000809326,0.04166861,0.003668909,0.6973705,0.1190752,0.1080306],"study_design_scores_gemma":[0.0004119467,0.0005192008,0.0369741,0.00009212784,0.0001705778,0.001549673,0.001096388,0.1288228,0.004401027,0.08991316,0.7359068,0.0001421802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3314598,0.001789261,0.03362615,0.02393003,0.001550058,0.0001917115,0.001839538,0.001387142,0.6042264],"genre_scores_gemma":[0.9184825,0.0002890647,0.005131812,0.00267958,0.00005557112,0.00005220071,0.0006750695,0.00005707122,0.07257712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04021842,"threshold_uncertainty_score":0.07996863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06580725536429805,"score_gpt":0.2029403593874238,"score_spread":0.1371331040231257,"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."}}