{"id":"W2003798735","doi":"10.1145/2184489.2184491","title":"SMSAssassin","year":2011,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Computer science; Short Message Service; Support vector machine; Machine learning; Artificial intelligence; Naive Bayes classifier; Filter (signal processing); Bag-of-words model; Communication source; Blacklist; Blacklisting; Forum spam; Spamming; World Wide Web; The Internet; Spambot; Computer security; Computer network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008875487,0.00117485,0.00113733,0.002256239,0.0008827468,0.001057492,0.0009715007,0.0008680318,0.01137808],"category_scores_gemma":[0.003305214,0.0003739116,0.0004610201,0.001854772,0.000310242,0.001752611,0.001210143,0.0007408815,0.01220607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006816309,"about_ca_system_score_gemma":0.000580786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004641762,"about_ca_topic_score_gemma":0.006440571,"domain_scores_codex":[0.9986488,0.0001741815,0.0001204194,0.0002954198,0.0006239662,0.00013724],"domain_scores_gemma":[0.9977482,0.0003853219,0.0003174322,0.0005528049,0.000674225,0.0003218747],"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":[0.003803767,0.0009328288,0.07966259,0.002650731,0.0003027807,0.00144887,0.002131517,0.003242933,0.02171468,0.004673343,0.5007778,0.3786582],"study_design_scores_gemma":[0.0003061877,0.001114312,0.156547,0.0002770674,0.0001552221,0.00276728,0.001072485,0.05298373,0.04816522,0.002734198,0.7336105,0.0002667893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.5336639,0.002257953,0.0156498,0.001511123,0.001198509,0.002459599,0.2132295,0.1364094,0.09362024],"genre_scores_gemma":[0.6133652,0.0009400807,0.03472812,0.001027115,0.0003342534,0.0009355452,0.281966,0.002863515,0.06384018],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01137808,"threshold_uncertainty_score":0.03806347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05160695508429729,"score_gpt":0.1959812090071653,"score_spread":0.144374253922868,"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."}}