{"id":"W4406633629","doi":"10.1093/cybsec/tyae029","title":"Mapping the DeFi crime landscape: an evidence-based picture","year":2025,"lang":"en","type":"article","venue":"Journal of Cybersecurity","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Österreichische Forschungsförderungsgesellschaft; Biocodex Microbiota Foundation","keywords":"Psychology; Criminology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00371177,0.0005079221,0.000424979,0.018257,0.001299236,0.003791908,0.001431036,0.0009922207,0.004026163],"category_scores_gemma":[0.01887631,0.0004263904,0.0006939568,0.01120888,0.001991069,0.005829179,0.003746867,0.00157098,0.0009370677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873494,"about_ca_system_score_gemma":0.002252837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119309,"about_ca_topic_score_gemma":0.02341201,"domain_scores_codex":[0.9949141,0.001269211,0.0008898492,0.0007348694,0.001698078,0.000493913],"domain_scores_gemma":[0.9798135,0.004895559,0.008359403,0.001151757,0.005182169,0.0005977515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001059002,0.0001601358,0.8436173,0.002740501,0.0002200389,0.00142106,0.01297314,0.001317418,0.0006028818,0.01280561,0.01636854,0.1076675],"study_design_scores_gemma":[0.00001070031,0.0001587496,0.8741843,0.006452749,0.0001385067,0.002469348,0.06735352,0.002956085,0.0007930688,0.005486872,0.03991977,0.00007632859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311233,0.009162186,0.008101369,0.008403473,0.0001159497,0.0005017524,0.01468978,0.0001251518,0.02777708],"genre_scores_gemma":[0.9823668,0.00640171,0.005202608,0.0004437141,0.0000442334,0.0002237419,0.004204248,0.00004075679,0.001072101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.018257,"threshold_uncertainty_score":0.02372289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581371036459439,"score_gpt":0.2711992035497972,"score_spread":0.2453854931852028,"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."}}