{"id":"W4230208307","doi":"10.32920/ryerson.14649483.v1","title":"A peer-to-peer delivery system for internet short video sharing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Compute Canada","funders":"","keywords":"Computer science; BitTorrent; Scalability; Upload; Peer-to-peer; Download; The Internet; Computer network; File sharing; Overlay network; Overlay; Workload; Scheme (mathematics); Multimedia; World Wide Web; Operating system","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","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001636679,0.0007771951,0.001042136,0.0007367464,0.0001199936,0.002161105,0.008968198,0.000752695,0.0000189793],"category_scores_gemma":[0.0006959402,0.0007791158,0.0004711477,0.0008270883,0.00004376463,0.0003854482,0.0267396,0.0009617583,0.00016616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008357526,"about_ca_system_score_gemma":0.0002775032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004603705,"about_ca_topic_score_gemma":0.0004001026,"domain_scores_codex":[0.9934948,0.00005284993,0.0009197302,0.002871707,0.001537922,0.001122977],"domain_scores_gemma":[0.9933783,0.0002319809,0.0001588152,0.003756447,0.002097339,0.0003771129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000801315,0.0002247044,0.002365733,0.00182698,0.001047458,0.0006381309,0.00455665,0.02785151,0.001060806,0.1066246,0.6163477,0.2373756],"study_design_scores_gemma":[0.0006390995,0.0004707518,0.001448421,0.004388155,0.0001891389,0.0002642834,0.001991463,0.7862197,0.03219509,0.003368963,0.1644222,0.004402726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0381094,0.0002273108,0.9352584,0.01097835,0.004194438,0.001787845,0.00003645812,0.004316973,0.005090798],"genre_scores_gemma":[0.6170123,0.000004341462,0.3633878,0.0007990043,0.0002767138,0.001019036,0.0000617859,0.00006468198,0.01737434],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7583682,"threshold_uncertainty_score":0.999466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997986565358808,"score_gpt":0.2781277133913707,"score_spread":0.2381478477377826,"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."}}