{"id":"W2092338002","doi":"10.1109/waina.2014.111","title":"Consumer Transactions on the Web","year":2014,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"China Scholarship Council; University of Victoria","keywords":"World Wide Web; Computer science; Web application security; Internet privacy; Web service; Web development; Listing (finance); Business; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001536551,0.0004746628,0.0007058881,0.002489184,0.001031703,0.006278203,0.0005029069,0.001945445,0.07916775],"category_scores_gemma":[0.01378181,0.0003049515,0.0003118692,0.005747418,0.0007356255,0.005629739,0.00150223,0.001199571,0.04549173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009799704,"about_ca_system_score_gemma":0.00081827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001971137,"about_ca_topic_score_gemma":0.002387834,"domain_scores_codex":[0.9960692,0.0007476797,0.0002661656,0.0003603251,0.002343267,0.000213349],"domain_scores_gemma":[0.9911975,0.002314328,0.0009393462,0.001636257,0.003198001,0.0007145372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001529335,0.0001022569,0.01248382,0.0008083702,0.00008112128,0.0006958273,0.00133218,0.0003578301,0.003329443,0.04212891,0.513324,0.4252033],"study_design_scores_gemma":[0.0000118684,0.00005897753,0.00959487,0.0002881533,0.00002610387,0.001077562,0.0007882596,0.001583125,0.001021818,0.01169308,0.9738174,0.00003879847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04341781,0.02622494,0.01210161,0.0179489,0.003721306,0.0005101727,0.006239051,0.001842691,0.8879935],"genre_scores_gemma":[0.3271103,0.02662789,0.008612676,0.007205421,0.003427735,0.0002203,0.008843792,0.000847549,0.6171043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07916775,"threshold_uncertainty_score":0.2648425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517945792771633,"score_gpt":0.2050619259384558,"score_spread":0.1898824680107394,"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."}}