{"id":"W207418988","doi":"10.1007/978-3-642-20798-3_2","title":"Enhancing Peer-to-Peer Traffic Locality through Selective Tracker Blocking","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Computer science; Blocking (statistics); Locality; Peer-to-peer; Computer network","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","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002634794,0.001259031,0.001231586,0.001477589,0.0005682157,0.0009331243,0.009015541,0.0009129363,0.00002901883],"category_scores_gemma":[0.0008222705,0.001212452,0.0002640329,0.002926274,0.0009059741,0.001120955,0.004083854,0.002303178,0.0003097481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067134,"about_ca_system_score_gemma":0.0008867602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001075377,"about_ca_topic_score_gemma":0.0007244791,"domain_scores_codex":[0.9898565,0.00008338405,0.001088562,0.003829235,0.003123091,0.002019214],"domain_scores_gemma":[0.9937142,0.0006830205,0.000427815,0.003139305,0.00161019,0.0004254589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002440577,0.0001184451,0.00003883968,0.00005256195,0.00005742001,0.0002552228,0.01103203,0.1003321,0.0003716172,0.01609882,0.001289296,0.8703293],"study_design_scores_gemma":[0.001420486,0.002276067,0.000756869,0.003078519,0.0001039967,0.000667075,0.000008181256,0.2281567,0.08444577,0.6094702,0.06126615,0.008349981],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001157881,0.0002529097,0.9830675,0.005713176,0.002798725,0.001080467,0.00001111513,0.001383598,0.004534692],"genre_scores_gemma":[0.3809916,0.00001089483,0.6131101,0.003947593,0.0005684157,0.00004568183,0.00000469851,0.00008731564,0.00123375],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8619792,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585415924014295,"score_gpt":0.2618358471262954,"score_spread":0.2359816878861525,"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."}}