{"id":"W3095381493","doi":"10.1108/jeee-03-2020-0055","title":"The impact of corruption on the export intensity of SMEs in Tunisia: moderating effects of political instability and regulatory obstacles","year":2020,"lang":"en","type":"article","venue":"Journal of Entrepreneurship in Emerging Economies","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Language change; Context (archaeology); Political instability; Business; Politics; Sample (material); Value (mathematics); Data collection; Small and medium-sized enterprises; Industrial organization; Political science; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001345775,0.0002058425,0.000284703,0.0007457873,0.0006891963,0.001427184,0.0002344553,0.0002879633,0.003132856],"category_scores_gemma":[0.005526895,0.0001115714,0.0002584121,0.0008072327,0.0006289659,0.0006164155,0.0009153058,0.0005127532,0.0001647252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239033,"about_ca_system_score_gemma":0.001317051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01594246,"about_ca_topic_score_gemma":0.02092687,"domain_scores_codex":[0.9989496,0.0004569428,0.00009172384,0.0001031564,0.0001309147,0.0002677813],"domain_scores_gemma":[0.9932489,0.001914036,0.003433702,0.0001857281,0.0006356401,0.0005819898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000843965,0.0001026991,0.9920148,0.00005036797,0.00005819514,0.0002295553,0.0009640745,0.000192683,0.0002036103,0.0003838235,0.000165988,0.005549718],"study_design_scores_gemma":[0.000003487975,0.00004751132,0.9962454,0.00005754838,0.0000249843,0.00005871819,0.002532467,0.000320179,0.0001326214,0.00009518213,0.0004779944,0.000003863046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983848,0.0001331497,0.00005278058,0.0002632376,0.000004051672,0.000005097526,0.00005320586,0.000001174595,0.001102458],"genre_scores_gemma":[0.9995874,0.00006855068,0.00002754517,0.00003314104,0.000006433267,0.000003271412,0.00003630807,7.632706e-7,0.0002366798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01594246,"threshold_uncertainty_score":0.0316993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780898302344617,"score_gpt":0.2997280231737496,"score_spread":0.2619190401503035,"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."}}