{"id":"W124750358","doi":"10.2139/ssrn.2148741","title":"Markets Can Cure Spam Zombies","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Spamming; Business; Internet privacy; Advertising; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.00103261,0.0001201429,0.0001109429,0.0001175141,0.0002734066,0.0002388819,0.0006586837,0.00006235113,0.000009920735],"category_scores_gemma":[0.00003315526,0.000106173,0.00008563784,0.0002867534,0.00001403504,0.0004196476,0.00002979544,0.001270273,0.00002374284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004301945,"about_ca_system_score_gemma":0.0008156204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002907129,"about_ca_topic_score_gemma":0.0002191036,"domain_scores_codex":[0.9978495,0.00007484708,0.0001609907,0.0001968914,0.0002683602,0.001449407],"domain_scores_gemma":[0.9994934,0.00002246276,0.00009699156,0.0002410872,0.00005828471,0.00008775189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003192026,0.00007498242,0.0006921188,0.000002180905,0.00005867815,0.00001897847,0.0005180634,0.0000426311,0.001347212,0.5470666,0.002126532,0.4480201],"study_design_scores_gemma":[0.0004686232,0.0006584616,0.006701238,0.00001850421,0.00001188266,0.001904308,0.0001179014,0.001850485,0.0006159429,0.9749722,0.01241809,0.0002623182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2520125,0.007278615,0.6857158,0.04176345,0.002720088,0.0002306909,0.00000149679,0.0005683902,0.009708974],"genre_scores_gemma":[0.9959955,0.001245115,0.00066613,0.0004633617,0.0003885974,8.289646e-7,5.41929e-7,0.000006328544,0.001233626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.743983,"threshold_uncertainty_score":0.5518774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004717552186643518,"score_gpt":0.2079410794353455,"score_spread":0.203223527248702,"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."}}