{"id":"W2020791430","doi":"10.1145/1552303.1552306","title":"Link spam target detection using page farms","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Knowledge Discovery from Data","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"PageRank; Computer science; Backlink; Web page; Spamdexing; HITS algorithm; Information retrieval; Ranking (information retrieval); Link analysis; Search engine; Precision and recall; Data mining; World Wide Web; Web search engine; Static web page; Web search query; Web development","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":[0.001416917,0.000686666,0.0009854912,0.009510489,0.0009221472,0.00151927,0.0006686596,0.001224445,0.001261436],"category_scores_gemma":[0.008350234,0.0003563109,0.0005219337,0.002613494,0.0007458146,0.003632901,0.0009666558,0.0005194026,0.001283279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004196323,"about_ca_system_score_gemma":0.0005436183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104984,"about_ca_topic_score_gemma":0.001656089,"domain_scores_codex":[0.9986269,0.0003350224,0.00009824903,0.000268068,0.0005510918,0.0001207255],"domain_scores_gemma":[0.9910792,0.003562806,0.001676727,0.001302262,0.002093913,0.0002851163],"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":[0.0007850026,0.0006806268,0.2218591,0.0005149396,0.0003010226,0.0009694705,0.0006764358,0.03251593,0.04790626,0.008431553,0.02171392,0.6636458],"study_design_scores_gemma":[0.00005904761,0.000388619,0.06485593,0.00007257026,0.0001477872,0.002329091,0.0003912146,0.8528716,0.05240298,0.01615833,0.0102053,0.0001174349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4980715,0.002115235,0.4785665,0.0004431481,0.0001569315,0.0005939534,0.001688786,0.01116487,0.007199109],"genre_scores_gemma":[0.8544123,0.0005341041,0.138685,0.00009952424,0.0002197949,0.0001889589,0.002329884,0.0001478459,0.003382475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009510489,"threshold_uncertainty_score":0.007493496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779916987046218,"score_gpt":0.2945533312560526,"score_spread":0.2367541613855904,"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."}}