{"id":"W2311683113","doi":"","title":"Investigating and improving BitTorrent's piece and neighbor selection algorithms","year":2008,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"BitTorrent; Computer science; Selection (genetic algorithm); Algorithm; Artificial intelligence; World Wide Web; The Internet","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001082757,0.0003807117,0.0003363733,0.0009568873,0.0004774126,0.0002007665,0.000834917,0.0004225725,0.000002202068],"category_scores_gemma":[0.0001072017,0.0004599924,0.00005539773,0.001666527,0.00009869524,0.0008016598,0.0004264232,0.0005687817,0.000007514393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777031,"about_ca_system_score_gemma":0.0001670237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004000729,"about_ca_topic_score_gemma":0.01481081,"domain_scores_codex":[0.9980519,0.00005816875,0.0002012137,0.0009426374,0.000315152,0.0004308867],"domain_scores_gemma":[0.9988909,0.00009047979,0.000232946,0.0003890826,0.0001751975,0.000221424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005068922,0.00009913751,0.2943482,0.0003993735,0.0002054914,0.0003363171,0.0008121456,0.0002226249,0.000582921,0.006371368,0.02336256,0.6732091],"study_design_scores_gemma":[0.008053402,0.003023911,0.1341913,0.003022301,0.0009655209,0.00000340001,0.07373101,0.3126031,0.05604106,0.005931944,0.390038,0.01239508],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674356,0.0006893388,0.0268487,0.0003432466,0.0008794544,0.0005171098,0.00001409749,0.001262432,0.002010004],"genre_scores_gemma":[0.8817725,0.001106169,0.1023353,0.0002997755,0.0003250843,0.00001042584,0.0002279306,0.0001136208,0.01380917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.660814,"threshold_uncertainty_score":0.9997852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149706235544221,"score_gpt":0.2095615338100288,"score_spread":0.1980644714545866,"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."}}