{"id":"W3170984040","doi":"10.1080/19186444.2021.1917331","title":"Economic analysis of corruption: evidence from Pakistan","year":2021,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economics; Language change; Distributed lag; Openness to experience; Tobit model; Index (typography); Inflation (cosmology); Investment (military); Developing country; Development economics; Macroeconomics; Econometrics; Economic growth; Politics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007638302,0.00007035322,0.0002905707,0.00008896994,0.0001160726,0.00003718172,0.0001148405,0.00003975775,0.01983124],"category_scores_gemma":[0.0000648855,0.00008006478,0.0001799559,0.0005537383,0.00006156083,0.0003083555,0.00000789702,0.00004273861,0.00007353439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197493,"about_ca_system_score_gemma":0.0008136029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002193737,"about_ca_topic_score_gemma":0.008655875,"domain_scores_codex":[0.9987363,0.0001765823,0.0005400557,0.0002177232,0.0002474066,0.00008191576],"domain_scores_gemma":[0.9990623,0.0002160401,0.0002492048,0.0001415198,0.0002652553,0.00006567336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001477771,0.00006552257,0.01635018,0.0001569771,0.0005024475,0.000003086876,0.00160234,0.0009180704,0.0002276108,0.9426538,0.0006795225,0.03682568],"study_design_scores_gemma":[0.0004451481,0.00002217741,0.352995,0.0008878607,0.002127775,0.000001207069,0.0007727827,0.002303706,0.0001516445,0.00415762,0.6355676,0.0005674187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4679584,0.1144177,0.08058634,0.2390355,0.004438699,0.002885866,0.001317725,0.0003737459,0.08898606],"genre_scores_gemma":[0.9555213,0.03888651,0.002078594,0.001054774,0.00006363672,0.0000318456,0.0008053872,0.00000525009,0.001552645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9384962,"threshold_uncertainty_score":0.9810647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08779638742018338,"score_gpt":0.3795314124643117,"score_spread":0.2917350250441283,"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."}}