{"id":"W3125394588","doi":"","title":"Multi-product exporters, carry-along trade and the margins of trade","year":2010,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Margin (machine learning); Product (mathematics); Value (mathematics); Business; International trade; Production (economics); Industrial organization; Carry (investment); International economics; Quarter (Canadian coin); Economics; Commerce; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001641339,0.0008379723,0.002289998,0.0004567246,0.0002560593,0.0002114004,0.001162535,0.0008494378,0.0005915267],"category_scores_gemma":[0.000219537,0.0008577243,0.0008320644,0.000150419,0.001613141,0.0003142426,0.0004965171,0.001884355,0.0001557038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002531454,"about_ca_system_score_gemma":0.0002395151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186076,"about_ca_topic_score_gemma":0.0008299634,"domain_scores_codex":[0.994944,0.00007818227,0.002422004,0.001666235,0.00007976869,0.0008097701],"domain_scores_gemma":[0.9955389,0.0002457214,0.002030564,0.001834945,0.00002326189,0.0003265437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001076513,0.000286106,0.9382399,0.0004123817,0.0007954852,0.00002048079,0.002528658,0.0001205978,0.00007994768,0.05204264,0.004509242,0.0008569647],"study_design_scores_gemma":[0.008203608,0.0001075457,0.8878161,0.0002144498,0.0002855537,0.0002856042,0.0008889382,0.005485117,0.0005175134,0.01410939,0.07939249,0.002693746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599689,0.01420297,0.0001687457,0.003470874,0.006637819,0.001204335,0.002385157,0.00009623058,0.01186501],"genre_scores_gemma":[0.9930696,0.002321051,0.00276669,0.0005031801,0.0006941551,0.000123496,0.0001006698,0.000109933,0.0003112624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07488324,"threshold_uncertainty_score":0.9993873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04132220099680485,"score_gpt":0.2168585415046163,"score_spread":0.1755363405078115,"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."}}