{"id":"W2890933004","doi":"10.3386/w17963","title":"Trade, Variety, and Immigration","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Variety (cybernetics); Context (archaeology); Economics; Welfare; International trade; Goods and services; International economics; Political science; Geography; Economy; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005006247,0.0001119095,0.0002455036,0.001040683,0.001351175,0.003485678,0.0001923276,0.0004508149,0.01064143],"category_scores_gemma":[0.002616914,0.00007179951,0.0002167535,0.002007092,0.003418414,0.001542524,0.001159197,0.0006039327,0.0003822802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000161,"about_ca_system_score_gemma":0.0009652927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0624914,"about_ca_topic_score_gemma":0.05640697,"domain_scores_codex":[0.9997215,0.00008293436,0.000008688276,0.00004452813,0.000046295,0.00009615849],"domain_scores_gemma":[0.9988845,0.000451086,0.0002769077,0.0000602804,0.000117098,0.0002102815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003447097,0.0002000095,0.4853446,0.0002148542,0.0001383161,0.0009185234,0.01545745,0.004744831,0.0007239737,0.3948901,0.009247989,0.08777459],"study_design_scores_gemma":[0.00004213646,0.0001078215,0.6677186,0.0004911215,0.0001001034,0.0004157379,0.02954424,0.001677142,0.0002339724,0.2294707,0.07015087,0.00004750882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8218058,0.007118574,0.0004644178,0.007175175,0.000088243,0.000008899792,0.0003012532,0.00001050568,0.1630271],"genre_scores_gemma":[0.9926126,0.002310717,0.00009754105,0.0002182366,0.00007076501,0.000002216604,0.00007947195,0.000003611228,0.004604814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0624914,"threshold_uncertainty_score":0.1242554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4038485226722447,"score_gpt":0.4213832951345272,"score_spread":0.01753477246228247,"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."}}