{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002713544,0.0002785377,0.000235811,0.0002332523,0.000488733,0.0005919617,0.002636426,0.00016915,0.00004022597],"category_scores_gemma":[0.00006658066,0.0002762036,0.0001170533,0.0007371004,0.00003989708,0.004181034,0.00008185375,0.0004503764,0.0001735314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133321,"about_ca_system_score_gemma":0.00009877011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000302772,"about_ca_topic_score_gemma":0.0002219758,"domain_scores_codex":[0.9979715,0.0001232977,0.0003228016,0.0009670948,0.0002683499,0.0003469131],"domain_scores_gemma":[0.9959709,0.0001933399,0.0001011979,0.00355343,0.00005980282,0.0001213286],"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":[0.0001206466,0.0008594718,0.00008298398,0.00001757072,0.0001434447,0.00002141496,0.001112949,0.002800131,0.05362551,0.0002861228,0.0004991576,0.9404306],"study_design_scores_gemma":[0.001912311,0.0008371077,0.005347279,0.0002392601,0.0002382529,0.00006133546,0.0001487858,0.7392189,0.1797284,0.03806785,0.03254469,0.001655867],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02672342,0.0002901456,0.9687198,0.000560198,0.002444731,0.0001890964,0.000386925,0.0003541911,0.0003314641],"genre_scores_gemma":[0.966371,0.00006263352,0.03245252,0.0002101632,0.0004634196,0.000006834159,0.0001708532,0.0000210877,0.0002414727],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9396476,"threshold_uncertainty_score":0.999969,"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."}}