{"id":"W2556317093","doi":"","title":"Identifying fraudulent online transactions using data mining and statistical techniques","year":2012,"lang":"en","type":"article","venue":"Computing and Convergence Technology (ICCCT), 2012 7th International Conference on","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Payment; Computer science; The Internet; Data science; Computer security; Online business; Business; Internet privacy; Data mining; World Wide Web","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":[0.004991183,0.001178143,0.001930719,0.01251267,0.001121426,0.003796628,0.001560275,0.001544309,0.0004973943],"category_scores_gemma":[0.01590425,0.0004846457,0.001118104,0.008373929,0.000660726,0.003943518,0.001161938,0.001495641,0.0006670328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00080365,"about_ca_system_score_gemma":0.001361506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895725,"about_ca_topic_score_gemma":0.001915687,"domain_scores_codex":[0.994745,0.00133847,0.00100558,0.0005623619,0.002052475,0.0002961391],"domain_scores_gemma":[0.9864688,0.005909503,0.003056415,0.001458538,0.002798913,0.0003077793],"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":[0.0005298275,0.001821278,0.2500499,0.0005515537,0.000603468,0.001665322,0.0007614737,0.05847003,0.01257126,0.01097734,0.006403278,0.6555954],"study_design_scores_gemma":[0.00003809684,0.0002784258,0.03063879,0.0002296259,0.0001524055,0.001292214,0.001236079,0.9223066,0.01350243,0.02339691,0.006830684,0.00009778142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4598965,0.002674436,0.5272214,0.0021783,0.0002857835,0.0007100366,0.001824668,0.00157379,0.003635046],"genre_scores_gemma":[0.7623754,0.001368917,0.2324488,0.0002085295,0.0001828378,0.0002326359,0.002169764,0.00005264251,0.0009605308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01251267,"threshold_uncertainty_score":0.02639621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1649428312117213,"score_gpt":0.3931878711863341,"score_spread":0.2282450399746128,"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."}}