{"id":"W4411666802","doi":"10.34190/eccws.24.1.3558","title":"Analysis of a Cryptocurrency Investment Scam: Pig Butchering","year":2025,"lang":"en","type":"article","venue":"European Conference on Cyber Warfare and Security","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Cryptocurrency; Business; Computer science; Computer security","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":[0.002730885,0.0005147503,0.0003972991,0.002173913,0.004390368,0.002969597,0.001191424,0.001816013,0.005149979],"category_scores_gemma":[0.01019541,0.0003055837,0.0002366716,0.001432625,0.004707425,0.004271342,0.002761075,0.001304234,0.0006638745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001832975,"about_ca_system_score_gemma":0.001138809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004093896,"about_ca_topic_score_gemma":0.008202603,"domain_scores_codex":[0.9963253,0.001863493,0.0001285922,0.00029795,0.001021943,0.0003627239],"domain_scores_gemma":[0.993075,0.003962262,0.001332355,0.0005547665,0.0008269427,0.0002486615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001292263,0.0001163633,0.03377202,0.0004338462,0.00002716942,0.01689245,0.8678739,0.0006145982,0.006780335,0.0196902,0.005138928,0.04853089],"study_design_scores_gemma":[0.000005065715,0.0001905034,0.01657923,0.0004879775,0.00002710971,0.007604957,0.8981767,0.002784204,0.003893248,0.0039177,0.06627811,0.00005522186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712512,0.0002821049,0.008460236,0.001326125,0.00003672459,0.00009886727,0.0001107677,0.00006223242,0.01837172],"genre_scores_gemma":[0.9855004,0.0003485392,0.003847284,0.0002331977,0.00001670872,0.00004077555,0.0001081766,0.00004374432,0.009861274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005149979,"threshold_uncertainty_score":0.01722842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009541732112398,"score_gpt":0.2615664913006127,"score_spread":0.2414710739794887,"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."}}