{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001302225,0.0001049536,0.00008112096,0.0001537309,0.0001628192,0.00005608775,0.0005187141,0.00005301046,0.00001696169],"category_scores_gemma":[0.000002333257,0.0001092711,0.00002810042,0.0003197784,0.00001597481,0.0009551146,0.00001648774,0.0001488436,0.00005900265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002396316,"about_ca_system_score_gemma":0.00001187361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003566016,"about_ca_topic_score_gemma":0.00003015273,"domain_scores_codex":[0.9992883,0.00001061858,0.0001411959,0.0003529917,0.00007089831,0.0001360549],"domain_scores_gemma":[0.999044,0.00002297818,0.00002246993,0.0007990946,0.00003204959,0.00007938431],"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":[0.00002956737,0.0009117267,0.00001831064,0.0001465603,0.0001213846,0.00001084777,0.001756719,0.0008294694,0.04583066,0.03273528,0.0006399393,0.9169695],"study_design_scores_gemma":[0.0003086627,0.000217241,0.002092998,0.00004775185,0.00004539606,0.00006636703,0.00003023129,0.4991866,0.4824637,0.0007846566,0.01424552,0.0005108661],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001979674,0.0001001196,0.9960957,0.000009815875,0.0002985413,0.0001091417,0.00001472344,0.0004789632,0.0009133256],"genre_scores_gemma":[0.9766067,0.00008955969,0.02309212,0.00001341491,0.00002786401,0.00004050105,0.000001488508,0.000009695036,0.0001186622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.974627,"threshold_uncertainty_score":0.4455945,"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."}}