{"id":"W2269729608","doi":"10.3386/w21935","title":"How Exporters Grow","year":2016,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Markup language; Price elasticity of demand; Elasticity (physics); Microeconomics; Industrial organization; Economics; Customer base; Business; Econometrics; Marketing; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005930018,0.0002292729,0.0002516209,0.001335472,0.001036634,0.005033553,0.0005264387,0.0009365955,0.04079453],"category_scores_gemma":[0.003185023,0.0001855765,0.0002283368,0.001053339,0.001004758,0.005666277,0.00178584,0.0009864226,0.007570166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007564278,"about_ca_system_score_gemma":0.0005266126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006789463,"about_ca_topic_score_gemma":0.007654848,"domain_scores_codex":[0.9995858,0.00005709334,0.00001496228,0.00010419,0.00008593709,0.0001519929],"domain_scores_gemma":[0.9986681,0.0003084259,0.000343317,0.000106232,0.0001737409,0.0004002214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004749771,0.000383066,0.353648,0.0004386951,0.00009999276,0.003703118,0.08345016,0.001090992,0.008996059,0.1171903,0.1105381,0.3199866],"study_design_scores_gemma":[0.00006235801,0.0001616736,0.3172735,0.0003212119,0.00005867884,0.001739288,0.08192337,0.001315569,0.001715183,0.02702567,0.5683316,0.00007183006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7959743,0.002120005,0.0009162773,0.01005097,0.0001761065,0.00003937754,0.00113771,0.0001762638,0.1894089],"genre_scores_gemma":[0.9172487,0.002506622,0.0006773381,0.002336917,0.0002234178,0.00005683096,0.0008714367,0.000127712,0.07595104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04079453,"threshold_uncertainty_score":0.1364713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5010962755628584,"score_gpt":0.427263723181405,"score_spread":0.07383255238145336,"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."}}