{"id":"W2945428468","doi":"10.1108/jfc-10-2018-0106","title":"Conceptualizing corruption prevention: a systematic literature review","year":2019,"lang":"en","type":"article","venue":"Journal of Financial Crime","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Conceptualization; Language change; Field (mathematics); Management science; Context (archaeology); Engineering ethics; Sociology; Systematic review; Strengths and weaknesses; Public relations; Positive economics; Political science; Epistemology; Computer science; Economics; Engineering; Law","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":[0.04747967,0.001920913,0.006890277,0.03437315,0.001975482,0.007294154,0.003009767,0.004036294,0.005510275],"category_scores_gemma":[0.1527844,0.001475713,0.005678049,0.02574021,0.0037958,0.009819238,0.004366099,0.003689416,0.0007739968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01007244,"about_ca_system_score_gemma":0.04969015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006507536,"about_ca_topic_score_gemma":0.01643547,"domain_scores_codex":[0.9390863,0.03554295,0.01271767,0.002762312,0.008507432,0.001383243],"domain_scores_gemma":[0.8261859,0.131712,0.01897945,0.002781029,0.01867842,0.001663231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001112684,0.00006315526,0.002312714,0.8575571,0.00274054,0.0002586386,0.003001655,0.0004188071,0.0002044073,0.006033494,0.007463014,0.1198352],"study_design_scores_gemma":[0.00004391841,0.00008281766,0.001896768,0.9592024,0.004629918,0.0003704809,0.002583166,0.0001663916,0.0001220938,0.002298193,0.02856214,0.0000417308],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001383891,0.9918194,0.001168393,0.003092284,0.0004442093,0.0007515032,0.0003127019,0.00001939841,0.001008296],"genre_scores_gemma":[0.02738603,0.9636976,0.003965044,0.002575521,0.0002477248,0.001601875,0.0003151259,0.00001698595,0.0001940183],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04747967,"threshold_uncertainty_score":0.2510995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097176236034171,"score_gpt":0.3252182613244337,"score_spread":0.294246498964092,"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."}}