{"id":"W3123748907","doi":"","title":"Trade Liberalization, Internal Migration and Regional Income Differences: Evidence from China","year":2014,"lang":"en","type":"article","venue":"2014 Meeting Papers","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Internal migration; Economics; International economics; Welfare; Free trade; China; Trade barrier; International trade; Computable general equilibrium; General equilibrium theory; Developing country; Macroeconomics; Geography; Market economy; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009851186,0.000293431,0.0003221084,0.001073871,0.0005862843,0.00059766,0.0003870368,0.0002488994,0.001624086],"category_scores_gemma":[0.001567721,0.0001265626,0.0006658397,0.002238138,0.0008421503,0.0004398406,0.0007600778,0.0003737101,0.0001358146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024853,"about_ca_system_score_gemma":0.001212787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1090602,"about_ca_topic_score_gemma":0.1344273,"domain_scores_codex":[0.9996734,0.00008282959,0.00002457784,0.00006428242,0.0000579235,0.00009704988],"domain_scores_gemma":[0.9981436,0.0003327443,0.0008092845,0.0002139063,0.0002697178,0.0002308079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001235823,0.00006743032,0.9802321,0.00008312411,0.0002427453,0.0002932097,0.001015615,0.002645606,0.0003258788,0.002092643,0.0009070407,0.01197104],"study_design_scores_gemma":[0.00001694736,0.00003476105,0.9953252,0.0000186109,0.0000960047,0.00003378832,0.0006461379,0.002181563,0.000172652,0.000407059,0.001057092,0.00001012687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977881,0.0003202772,0.0001011476,0.0002414593,0.000003085835,0.000004846604,0.0002389012,0.00000456156,0.001297551],"genre_scores_gemma":[0.9990867,0.0002762847,0.00004971932,0.00003627819,0.000005273954,0.000003020216,0.0003003536,0.000001119815,0.0002412997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090602,"threshold_uncertainty_score":0.2168508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03749658609510129,"score_gpt":0.2028987733030608,"score_spread":0.1654021872079595,"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."}}