{"id":"W2338023721","doi":"","title":"District's Patterns in Imports and Exports Sometimes Differ from Nation's","year":2016,"lang":"en","type":"article","venue":"The Regional Economist","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; International trade; International economics; Business; Monetary economics","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":[0.0004512508,0.00009827234,0.0003515731,0.001708518,0.0007190426,0.00179031,0.0004528895,0.0002557561,0.01503148],"category_scores_gemma":[0.003049671,0.0001612472,0.000289525,0.004246645,0.0004269329,0.0007568374,0.001001008,0.0004542715,0.003025193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005869516,"about_ca_system_score_gemma":0.0003373353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01657588,"about_ca_topic_score_gemma":0.05029117,"domain_scores_codex":[0.9993124,0.0001371351,0.00007221613,0.0001655387,0.0001194938,0.0001933116],"domain_scores_gemma":[0.9974178,0.0005852482,0.0008433826,0.0003435818,0.0005984163,0.0002115851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004677387,0.00007730761,0.9058188,0.0003068102,0.0003985955,0.000399851,0.005441382,0.0007080951,0.002663276,0.01475393,0.02609711,0.04286712],"study_design_scores_gemma":[0.000008892153,0.0000283545,0.9659421,0.00004095777,0.00004970365,0.0001879062,0.003386852,0.0002735816,0.0006785056,0.001116597,0.02826269,0.00002388513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8966584,0.0009542024,0.002517006,0.001681011,0.0001126027,0.00003223653,0.0152194,0.0002236558,0.08260155],"genre_scores_gemma":[0.9829032,0.0002381264,0.0005146876,0.0001753516,0.0000179633,0.00001418406,0.00561648,0.00009574376,0.01042431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01657588,"threshold_uncertainty_score":0.05028534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05556467508556324,"score_gpt":0.1901788943070481,"score_spread":0.1346142192214848,"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."}}