{"id":"W4254325038","doi":"10.1145/1357010.1352620","title":"Itrustpage","year":2008,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Phishing; Computer science; False positive paradox; Automation; World Wide Web; Computer security; False positives and false negatives; Internet privacy; The Internet; Artificial intelligence; Engineering","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":[0.0007813062,0.0001604817,0.0003532822,0.00004127249,0.0003791861,0.0001667489,0.001194575,0.00005465322,0.00001833378],"category_scores_gemma":[0.00080127,0.0001304773,0.00008660962,0.0004787646,0.0000201264,0.0005411924,0.0002344422,0.0001665332,0.0003970409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004222975,"about_ca_system_score_gemma":0.00006654162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001637933,"about_ca_topic_score_gemma":0.000001815834,"domain_scores_codex":[0.9983864,0.0002525024,0.0004434669,0.0003759741,0.000307451,0.0002342047],"domain_scores_gemma":[0.9982746,0.0001330101,0.000132961,0.001254135,0.0001171285,0.00008817043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006398285,0.000430806,0.01710565,0.03297393,0.0004031918,0.00138108,0.007841601,0.001435092,0.01699279,0.1007332,0.5405657,0.2801306],"study_design_scores_gemma":[0.001027338,0.0005260609,0.003099789,0.02786814,0.00008869891,0.007594858,0.00006644989,0.03820337,0.002083702,0.0002496945,0.9168815,0.00231041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0282245,0.7883943,0.1477327,0.004910389,0.007305025,0.003044003,0.000005315288,0.00207048,0.01831326],"genre_scores_gemma":[0.9420075,0.03185964,0.01938593,0.003375979,0.0006929903,0.0002244788,0.000006230978,0.00003680841,0.002410455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.913783,"threshold_uncertainty_score":0.5320711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04596051882530987,"score_gpt":0.26949806565528,"score_spread":0.2235375468299701,"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."}}