{"id":"W4409822839","doi":"10.6000/1929-4409.2025.14.09","title":"Assessing the Effectiveness of Compliance Programs Through the Use of the Metaverse and Blockchain","year":2025,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blockchain; Compliance (psychology); Metaverse; Computer science; Computer security; Psychology; Social psychology; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02761937,0.0005878533,0.0004734907,0.001858496,0.001268984,0.002340744,0.001127113,0.001680383,0.003673427],"category_scores_gemma":[0.1016181,0.0002720827,0.0004982962,0.001587268,0.00285085,0.005619615,0.002336264,0.001449373,0.0006370145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002816443,"about_ca_system_score_gemma":0.004166808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003679211,"about_ca_topic_score_gemma":0.003829991,"domain_scores_codex":[0.9799882,0.01314299,0.0008322822,0.001303509,0.003921169,0.0008118844],"domain_scores_gemma":[0.8641419,0.08920665,0.0202156,0.0140949,0.009771048,0.002569872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01034731,0.009577883,0.3792396,0.001401517,0.0009156537,0.0003086963,0.007234604,0.1481539,0.009503067,0.1365709,0.004680554,0.2920664],"study_design_scores_gemma":[0.002172386,0.04788455,0.2621138,0.001203627,0.001031313,0.0004891323,0.006946911,0.4776524,0.04859598,0.1175135,0.03389167,0.0005046474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693726,0.0001657995,0.01398499,0.0005098759,0.00003966787,0.0004768147,0.0002560409,0.000162089,0.01503211],"genre_scores_gemma":[0.9923118,0.00008187832,0.006070952,0.000076109,0.00001211162,0.0003243132,0.0001743198,0.0000216734,0.0009269879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02761937,"threshold_uncertainty_score":0.1460669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016501549048651,"score_gpt":0.3593870696749801,"score_spread":0.2577369147701151,"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."}}