{"id":"W1573025009","doi":"10.3386/w19872","title":"Intra-national Trade Costs: Measurement and Aggregation","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Industry Canada","keywords":"Econometrics; Economics; Business; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01314657,0.0003177384,0.000893208,0.00122547,0.0001751003,0.0001690829,0.000512808,0.0005680003,0.000588905],"category_scores_gemma":[0.002190051,0.0004073167,0.0002223022,0.0001779462,0.000308486,0.0003160702,0.0001356058,0.000700608,0.0006042626],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007499851,"about_ca_system_score_gemma":0.001649347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515577,"about_ca_topic_score_gemma":0.0004024974,"domain_scores_codex":[0.9959916,0.00007657544,0.001689277,0.0009165776,0.0008095136,0.0005163868],"domain_scores_gemma":[0.9971709,0.0003850382,0.0009406185,0.0003112804,0.0009982188,0.0001939206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002635761,0.00009550433,0.003447725,0.0001708405,0.000258181,6.680551e-7,0.00003157384,0.0002147682,0.000008541906,0.8818178,0.1121636,0.001764389],"study_design_scores_gemma":[0.0007692361,0.000134264,0.005006591,0.0001297832,0.000009371985,0.00002442422,0.00002554684,0.001814559,0.00006294944,0.7080044,0.2835907,0.0004281801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002467252,0.004459185,0.0000576576,0.003696939,0.001082355,0.000670028,0.0009030654,0.00002558032,0.9866379],"genre_scores_gemma":[0.9908337,0.00526159,0.0003130508,0.0001254191,0.001503631,0.0001176299,0.0005400921,0.00006795137,0.001236952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9883664,"threshold_uncertainty_score":0.9998379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5466117774038968,"score_gpt":0.4373335696146328,"score_spread":0.1092782077892639,"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."}}