{"id":"W2131967083","doi":"10.1109/tkde.2010.262","title":"Resilient Identity Crime Detection","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Knowledge and Data Engineering","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advantage Forensics (Canada)","funders":"Australian Research Council; University of Warwick","keywords":"Computer science; Identity (music); 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":[0.002267516,0.0007431807,0.001104013,0.003362109,0.0008835218,0.002220087,0.001879593,0.00115905,0.001369971],"category_scores_gemma":[0.01115458,0.000438796,0.0007550623,0.001409697,0.0007824133,0.002692603,0.004092277,0.001246306,0.0008278784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022603,"about_ca_system_score_gemma":0.001162979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198873,"about_ca_topic_score_gemma":0.001564285,"domain_scores_codex":[0.9968004,0.0004901395,0.0002710189,0.0007344895,0.00131346,0.0003904373],"domain_scores_gemma":[0.9913669,0.002031716,0.001703744,0.002661683,0.001869072,0.0003668573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007500381,0.0008569303,0.07616997,0.0002398335,0.0003768206,0.0007671678,0.0007445374,0.06164958,0.05203388,0.0118966,0.007580366,0.7869341],"study_design_scores_gemma":[0.00004392264,0.0005490647,0.02223008,0.00005465614,0.0001720541,0.001493726,0.0003895353,0.8707913,0.07682346,0.01696953,0.01033189,0.0001507479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3630505,0.0004052595,0.6169004,0.001088838,0.0001711223,0.0004915092,0.0005381503,0.01051462,0.006839645],"genre_scores_gemma":[0.8849753,0.000117531,0.1121732,0.0002298798,0.000043334,0.00008073035,0.0003129887,0.00005685861,0.002010291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003362109,"threshold_uncertainty_score":0.01199186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861372655258806,"score_gpt":0.271454297643489,"score_spread":0.2328405710909009,"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."}}