{"id":"W2139472978","doi":"10.1145/1066677.1066792","title":"Discovery and regeneration of hidden emails","year":2005,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Heuristics; Scalability; Popularity; World Wide Web; Electronic mail; Graph; Hierarchy; Information retrieval; Theoretical computer science; Database","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":[0.002180838,0.0006935906,0.001004567,0.00327731,0.001234667,0.001851202,0.001784398,0.001298161,0.001877776],"category_scores_gemma":[0.0197548,0.0009345427,0.0009889177,0.001972556,0.001075701,0.003374113,0.002018225,0.001130986,0.001026423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019678,"about_ca_system_score_gemma":0.001698882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275815,"about_ca_topic_score_gemma":0.00516516,"domain_scores_codex":[0.9970912,0.0006127774,0.0002149902,0.0006275487,0.001110943,0.0003425368],"domain_scores_gemma":[0.9830391,0.007109022,0.002279414,0.004385121,0.002451633,0.0007356817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000994629,0.000535233,0.04462427,0.0007530951,0.0001353027,0.001655693,0.002959553,0.1243006,0.0434205,0.03851504,0.007106442,0.7349998],"study_design_scores_gemma":[0.00004187469,0.000186585,0.00611869,0.00009600086,0.0001111096,0.001636317,0.001225061,0.8845602,0.04865994,0.04827395,0.009023721,0.00006656333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3252585,0.0005581283,0.6660457,0.0005998929,0.00005352899,0.0002716107,0.0005802163,0.003161018,0.003471288],"genre_scores_gemma":[0.5651613,0.0003039164,0.4285264,0.00009321088,0.00003701169,0.00009540075,0.001628245,0.0003138221,0.003840647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00327731,"threshold_uncertainty_score":0.01153356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017190316365521,"score_gpt":0.2142033333532761,"score_spread":0.2040314301896209,"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."}}