{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000516849,0.000244289,0.0002456225,0.0004454561,0.0002807852,0.0001684805,0.001546558,0.0002085379,0.00008625819],"category_scores_gemma":[0.00009935901,0.0002512571,0.00001966019,0.0002938726,0.0003386102,0.001171115,0.0007493009,0.0003769483,0.000009300005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006762865,"about_ca_system_score_gemma":0.0000681764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002801227,"about_ca_topic_score_gemma":0.000006180991,"domain_scores_codex":[0.9980708,0.00006792846,0.00043397,0.0006956738,0.0003092999,0.00042232],"domain_scores_gemma":[0.9984841,0.0001228737,0.0002424948,0.0008296759,0.0001881538,0.0001326534],"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":[0.0000128417,0.0002388011,0.008941425,0.00003747907,0.00007725434,0.00000845299,0.0003494157,0.000002818914,0.008306664,0.3871188,0.0005980021,0.5943081],"study_design_scores_gemma":[0.0004913755,0.0002057367,0.0143798,0.0005781934,0.00006301342,0.0003299834,0.0009250457,0.9448885,0.01527347,0.01489398,0.006929145,0.001041688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03140689,0.0003004706,0.9643518,0.001848292,0.000770683,0.0001671769,0.0001294823,0.0007473909,0.0002778012],"genre_scores_gemma":[0.6956316,0.0002385178,0.303762,0.0001543178,0.0000757515,0.000007536407,0.00006339873,0.00001078763,0.00005619541],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9448857,"threshold_uncertainty_score":0.999994,"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."}}