{"id":"W110592617","doi":"10.1007/978-3-642-41299-8_30","title":"Multistage Email Spam Filtering Based on Three-Way Decisions","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Process (computing); Spamming; Information retrieval; Electronic mail; Data mining; World Wide Web; The Internet","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007204299,0.0007420991,0.0006441585,0.0009342369,0.0004542132,0.001174721,0.004864818,0.0003970223,0.0001663327],"category_scores_gemma":[0.0001594788,0.0005942188,0.0002238734,0.0006141746,0.0005525481,0.0005666729,0.001555072,0.001019714,0.0004758353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002850633,"about_ca_system_score_gemma":0.0003270759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006442521,"about_ca_topic_score_gemma":0.0001328635,"domain_scores_codex":[0.9949099,0.00003633597,0.0006133786,0.002094816,0.001404022,0.0009414834],"domain_scores_gemma":[0.9953349,0.001218336,0.0002958561,0.00263968,0.0001978277,0.0003134365],"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":[0.000005108214,0.0000464563,0.00003598499,0.00001542583,0.000005575896,0.0001572311,0.0001351791,0.08877999,0.00004331711,0.009726069,0.000127212,0.9009225],"study_design_scores_gemma":[0.0002923448,0.0002629471,0.0004030904,0.0004893019,0.000004068891,0.00001916156,5.277215e-8,0.9329841,0.0001540459,0.06195678,0.002722734,0.0007114083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006786307,0.0001355485,0.9799682,0.0007232707,0.002223254,0.0005400549,0.0000113294,0.00024178,0.01608867],"genre_scores_gemma":[0.09539064,0.00002204171,0.9003214,0.003416748,0.0004454569,0.00002273262,0.00000772545,0.00005099801,0.0003222954],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.900211,"threshold_uncertainty_score":0.9998621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03148747454763866,"score_gpt":0.2454306094741278,"score_spread":0.2139431349264891,"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."}}