{"id":"W4402347760","doi":"10.23939/law2024.42.219","title":"Approaches to understanding corruption in international and national legislation","year":2024,"lang":"en","type":"article","venue":"Visnik Nacional’nogo universitetu «Lvivska politehnika» Seria Uridicni nauki","topic":"Ukrainian Legal and Forensic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Language change; Legislation; Political science; Legislature; Phenomenon; Abuse of power; Context (archaeology); Law and economics; Social phenomenon; State (computer science); Public relations; Law; Sociology; Politics; Social science; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01089885,0.0006277329,0.0007199164,0.007624294,0.006713253,0.0132818,0.001777109,0.004546843,0.00331634],"category_scores_gemma":[0.009467987,0.0003609245,0.0009629228,0.006223716,0.03961942,0.01109879,0.00533129,0.006962279,0.0003761395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01630077,"about_ca_system_score_gemma":0.01121977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006350438,"about_ca_topic_score_gemma":0.006525324,"domain_scores_codex":[0.9888574,0.007737712,0.0005430391,0.0006997421,0.001234508,0.0009275533],"domain_scores_gemma":[0.9868308,0.009618407,0.001609461,0.0006649425,0.0009641449,0.00031225],"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":[0.000001674059,0.00001247884,0.0002722515,0.00006149439,0.000003343907,0.0000482838,0.007529017,0.0001701133,0.00002383613,0.9864617,0.0008902517,0.004525521],"study_design_scores_gemma":[0.000006823595,0.0000316169,0.002886273,0.001904586,0.00002288646,0.000268041,0.0221465,0.0009924495,0.0002809394,0.7066876,0.2647453,0.00002710321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03063707,0.05538929,0.05948603,0.0871712,0.001265436,0.0002739507,0.0001144174,0.0000902629,0.7655723],"genre_scores_gemma":[0.8959167,0.03590715,0.02338392,0.0114398,0.001075484,0.0006779351,0.0001546174,0.00009734342,0.03134705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01630077,"threshold_uncertainty_score":0.1182709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1628349121432855,"score_gpt":0.3051872199031767,"score_spread":0.1423523077598912,"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."}}