{"id":"W2133145073","doi":"10.1109/infocom.2006.101","title":"Epidemiological Modelling of Peer-to-Peer Viruses and Pollution","year":2006,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Popularity; Peer-to-peer; Reputation; Computer security; Order (exchange); Pollution; Risk analysis (engineering); Distributed computing; Business; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001379397,0.0005617831,0.0008245505,0.001157213,0.001080413,0.002022375,0.001567318,0.002939679,0.002250013],"category_scores_gemma":[0.009210001,0.0005240171,0.0008611981,0.0008392952,0.00186655,0.002509813,0.001180075,0.001360497,0.0004874218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865685,"about_ca_system_score_gemma":0.001033246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090139,"about_ca_topic_score_gemma":0.003618082,"domain_scores_codex":[0.9990922,0.000419273,0.00004526615,0.0001301936,0.0001580805,0.000155009],"domain_scores_gemma":[0.9950864,0.003106729,0.0007839741,0.000271576,0.0005559397,0.000195406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002334351,0.00003765475,0.002475432,0.00003373232,0.00002358269,0.000169371,0.0001558399,0.9412966,0.001263427,0.05156104,0.000573482,0.002386573],"study_design_scores_gemma":[0.00000753357,0.00001656817,0.0002886799,0.000007253148,0.000006533305,0.00005394559,0.00004306438,0.989943,0.0001609007,0.00899688,0.0004671675,0.000008430313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4466776,0.0009583529,0.5234389,0.003306414,0.0001843595,0.0002286762,0.0005001836,0.0003473646,0.0243581],"genre_scores_gemma":[0.982703,0.0004646548,0.01083458,0.0001149629,0.00004583322,0.0001106346,0.0000898928,0.00001916588,0.005617331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01090139,"threshold_uncertainty_score":0.02167588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.060676112415306,"score_gpt":0.28029275901683,"score_spread":0.219616646601524,"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."}}