{"id":"W1006876689","doi":"","title":"Политико-криминологическая характеристика международной практики противодействия коррупции","year":2015,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Ukrainian Legal and Forensic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Economic growth; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004740758,0.002638424,0.003345451,0.0008956668,0.003137652,0.001300643,0.003448084,0.002206019,0.002357603],"category_scores_gemma":[0.002789566,0.002635458,0.001676467,0.003833222,0.005575176,0.002008544,0.001728344,0.002793997,0.01482407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171866,"about_ca_system_score_gemma":0.003133172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005655027,"about_ca_topic_score_gemma":0.003862266,"domain_scores_codex":[0.9817744,0.001755455,0.002997926,0.003481542,0.004761314,0.005229295],"domain_scores_gemma":[0.9885362,0.001114003,0.00161547,0.002670156,0.002118311,0.003945879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006777556,0.001400912,0.007801808,0.0002068168,0.001671286,0.0009601607,0.185343,0.00008364561,0.0001774354,0.05406116,0.6781346,0.0694814],"study_design_scores_gemma":[0.00517697,0.001200961,0.005208831,0.0006240746,0.0009615054,0.0001586673,0.03402086,0.000222915,0.0004766719,0.008499571,0.9396427,0.003806228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.177433,0.02898214,0.0002053746,0.0248866,0.0201314,0.002988182,0.0005508332,0.001957005,0.7428654],"genre_scores_gemma":[0.7809789,0.002866469,0.002857147,0.003132955,0.01205048,0.0003062963,0.0001718874,0.0005159244,0.1971199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6035459,"threshold_uncertainty_score":0.9997361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08995631928500154,"score_gpt":0.3188015591898976,"score_spread":0.228845239904896,"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."}}