{"id":"W2954497595","doi":"10.1504/ejim.2020.10017198","title":"Riding the storm out: the short- and long-term effects of export promotion on firm performance during an economic downturn","year":2018,"lang":"en","type":"article","venue":"European J of International Management","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Promotion (chess); Recession; Business; Export performance; Term (time); International economics; Economics; International trade; Political science; Politics; Macroeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004562751,0.0001023516,0.0001282721,0.00009654968,0.00009121383,0.00004798171,0.0004081626,0.00001315479,0.0000967958],"category_scores_gemma":[0.000008750006,0.00008130793,0.00004998171,0.00002511249,0.00008967762,0.0001983177,0.0001514216,0.0000621811,0.0001746666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007996365,"about_ca_system_score_gemma":0.000001919981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005641128,"about_ca_topic_score_gemma":0.0000117162,"domain_scores_codex":[0.9992127,0.00001708664,0.0003860756,0.0002291535,0.00003797852,0.0001170435],"domain_scores_gemma":[0.9994264,0.00001672051,0.000247188,0.0002688588,0.00001514083,0.00002572277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000198235,0.0003948154,0.8337271,0.0004456521,0.0007589426,0.00001973547,0.00280368,0.000827289,0.0001789378,0.1434476,0.0006074297,0.01659059],"study_design_scores_gemma":[0.0003080942,0.0002122231,0.9955443,0.00006409503,0.000009084079,0.00000295724,0.00004149247,0.0009404035,0.0008705112,0.0001740065,0.001737696,0.00009510043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587151,0.00008080294,0.00007024947,0.0002311251,0.0008008981,0.0002317752,0.00001302459,0.000009887234,0.03984714],"genre_scores_gemma":[0.9988456,0.0002828843,0.00003547458,0.00008283829,0.0002293407,0.000007209247,0.000007220646,0.00001439998,0.0004949808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1618173,"threshold_uncertainty_score":0.3315641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971179599700247,"score_gpt":0.2222988778946885,"score_spread":0.182587081897686,"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."}}