{"id":"W2091541911","doi":"10.1109/vetecf.2010.5594219","title":"Penalty Function Method for Peer Selection over Wireless Mesh Network","year":2010,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eion (Canada); Carleton University","funders":"","keywords":"Computer science; Peer-to-peer; Distributed computing; Computer network; Throughput; Wireless mesh network; File sharing; Bandwidth (computing); Selection (genetic algorithm); Wireless; Wireless network; Mathematical optimization; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00120576,0.000188754,0.0002005866,0.0001309289,0.0002405489,0.000214276,0.0008697559,0.0002255427,0.00006304892],"category_scores_gemma":[0.0001414946,0.0001653094,0.0000939897,0.0009676439,0.00002439213,0.0004628198,0.0003190481,0.0003594893,0.00005481945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004435369,"about_ca_system_score_gemma":0.00005454505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006297587,"about_ca_topic_score_gemma":0.000667081,"domain_scores_codex":[0.9982188,0.00004067898,0.0002241422,0.0005851364,0.00039429,0.0005369776],"domain_scores_gemma":[0.9986362,0.0002303774,0.00008489066,0.0006129211,0.0003356675,0.0000999448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003109615,0.00003594002,0.001017507,0.000007804321,0.00003472803,7.351045e-7,0.00005121604,0.001172319,0.009641131,0.392976,0.378751,0.2162806],"study_design_scores_gemma":[0.0004026073,0.0002790041,0.006892607,0.000007715052,0.00002131731,0.00002300855,0.00001151377,0.700823,0.01161568,0.04551275,0.2339861,0.0004246656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01440961,0.000006293823,0.9748913,0.004418786,0.002229402,0.0004247978,0.000001199596,0.001569471,0.002049115],"genre_scores_gemma":[0.2038438,0.00000118905,0.7881863,0.001239064,0.0005960022,0.0001433679,0.000004457244,0.00001867081,0.005967176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6996507,"threshold_uncertainty_score":0.6741122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409968593538525,"score_gpt":0.2854346871976914,"score_spread":0.2713350012623062,"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."}}