{"id":"W4248572303","doi":"10.1007/978-1-4939-7131-2_101230","title":"Spam Detection","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":[0.0008184345,0.001846244,0.0009284689,0.003658734,0.001308977,0.003077745,0.001557135,0.002389838,0.0429025],"category_scores_gemma":[0.002362513,0.0006407715,0.0006102144,0.001481004,0.0007661076,0.003198359,0.001650954,0.001684761,0.07346701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007406058,"about_ca_system_score_gemma":0.0007294727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006482382,"about_ca_topic_score_gemma":0.0009937742,"domain_scores_codex":[0.9991289,0.00008622183,0.00002422803,0.0002128785,0.0004623384,0.00008549318],"domain_scores_gemma":[0.9988142,0.0002717745,0.00006719009,0.0002381405,0.000531397,0.00007734499],"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":[0.0000471042,0.0001256215,0.0005807467,0.0002678145,0.00001772442,0.00009395552,0.0001390797,0.0008019289,0.006376172,0.02436079,0.2309161,0.736273],"study_design_scores_gemma":[0.00001038252,0.0001014522,0.001287386,0.0003370129,0.00004641939,0.001724329,0.0001304836,0.01943954,0.02984903,0.05267203,0.894342,0.00005992485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007918992,0.01397982,0.3265568,0.004377293,0.003356795,0.0005122239,0.001350294,0.01551287,0.626435],"genre_scores_gemma":[0.06415836,0.01006915,0.1264891,0.00340785,0.002331244,0.0002135679,0.002968856,0.001601514,0.7887604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0429025,"threshold_uncertainty_score":0.1435232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017795707081472,"score_gpt":0.2053772263052125,"score_spread":0.1875815192237405,"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."}}