{"id":"W2055355018","doi":"10.1007/s12083-008-0026-2","title":"A contribution-based service differentiation scheme for peer-to-peer systems","year":2009,"lang":"en","type":"article","venue":"Peer-to-Peer Networking and Applications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Upload; Reputation; Peer-to-peer; Computer science; Incentive; Service (business); Reputation system; Free rider problem; Internet privacy; Scheme (mathematics); Computer security; File sharing; World Wide Web; Business; Marketing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004539446,0.0008767132,0.001999001,0.001352297,0.002996501,0.002295378,0.004195081,0.001913558,0.002624354],"category_scores_gemma":[0.009395869,0.0004357841,0.0005759535,0.001767258,0.001218792,0.002863627,0.004088425,0.00245481,0.001617588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479082,"about_ca_system_score_gemma":0.002137868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169622,"about_ca_topic_score_gemma":0.001816855,"domain_scores_codex":[0.9967709,0.0007821293,0.0002555466,0.0004291588,0.001424891,0.0003371967],"domain_scores_gemma":[0.9932718,0.001786872,0.0002908938,0.001594172,0.002230016,0.0008262756],"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":[0.00272637,0.0008542879,0.001630137,0.000751977,0.000192099,0.000935123,0.001416361,0.09865259,0.1116176,0.1869409,0.01808442,0.5761981],"study_design_scores_gemma":[0.0002995882,0.0005523835,0.0005220137,0.00005286072,0.0001642869,0.0008867803,0.0001881767,0.8869247,0.0286577,0.05856445,0.02300741,0.0001796958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04060902,0.001193541,0.9477721,0.0009424937,0.0007392911,0.0005055176,0.0001386625,0.002354892,0.005744428],"genre_scores_gemma":[0.676701,0.0005952475,0.3108655,0.0003325474,0.000467646,0.0002662692,0.0002734459,0.0001764023,0.01032192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004539446,"threshold_uncertainty_score":0.02400714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971069125939457,"score_gpt":0.2762502087912448,"score_spread":0.2565395175318502,"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."}}