{"id":"W2356076992","doi":"","title":"Export Costs, Credit Constraints and Firms' Exports","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Loan; Monetary economics; Investment (military); Business; Productivity; Capital (architecture); Bank credit; Fixed investment; Economics; Financial system; Finance; Capital formation; Macroeconomics; Financial capital; Human capital; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007993985,0.0001845583,0.0003555808,0.00106059,0.0003882034,0.002414285,0.0002235523,0.0004198384,0.007121004],"category_scores_gemma":[0.01007988,0.0001396136,0.0002754765,0.001768271,0.0006468814,0.001302699,0.0009450503,0.0006732874,0.0003830336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007170109,"about_ca_system_score_gemma":0.0003368956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008301328,"about_ca_topic_score_gemma":0.008788321,"domain_scores_codex":[0.9995862,0.00009085602,0.00006314521,0.0000731441,0.00008835863,0.00009825321],"domain_scores_gemma":[0.9837459,0.006245327,0.007829998,0.0005204396,0.0005599954,0.001098313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001175615,0.00005152458,0.9935158,0.00001980266,0.00005597946,0.0001002707,0.0001331813,0.001488423,0.0001466633,0.0009586322,0.0003413009,0.003070784],"study_design_scores_gemma":[0.00001018347,0.00002593748,0.9968224,0.00001837903,0.00002070877,0.00007153595,0.0003362477,0.00109438,0.0001226719,0.0006842466,0.0007871886,0.000006250909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974515,0.0001573491,0.0001207076,0.0001330188,0.000001799854,0.00000371829,0.0004366892,0.000003856592,0.001691323],"genre_scores_gemma":[0.9987269,0.00006223036,0.00002980861,0.00001173351,0.000004347693,0.00000273333,0.0004350813,0.000001638081,0.0007254166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008301328,"threshold_uncertainty_score":0.02382213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2264043658984864,"score_gpt":0.3331225979994553,"score_spread":0.1067182321009688,"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."}}