{"id":"W2141643443","doi":"10.1109/icdcs.2008.57","title":"Crystal: An Emulation Framework for Practical Peer-to-Peer Multimedia Streaming Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Troubleshooting; Computer science; Emulation; Server; Peer-to-peer; Software deployment; Real Time Streaming Protocol; Multimedia; Construct (python library); Distributed computing; The Internet; Computer network; 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"],"consensus_categories":[],"category_scores_codex":[0.0007414048,0.0002885795,0.000336937,0.0003131356,0.0003072224,0.000339855,0.00119408,0.0003368802,0.00000885903],"category_scores_gemma":[0.003387355,0.0002664268,0.00007854502,0.0008807255,0.00006166509,0.001058719,0.0004621999,0.000326417,0.0001297066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438184,"about_ca_system_score_gemma":0.0001380852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009406138,"about_ca_topic_score_gemma":0.00003439888,"domain_scores_codex":[0.9968025,0.00007107356,0.0004465868,0.0008544393,0.001101648,0.0007237243],"domain_scores_gemma":[0.9964676,0.0009289782,0.0001260376,0.001308825,0.0008087779,0.0003598206],"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":[0.0001299611,0.0008010848,0.006251152,0.00008340827,0.0001420921,0.0002216671,0.008288389,0.04812908,0.00286607,0.6426576,0.1885782,0.1018514],"study_design_scores_gemma":[0.0004345487,0.0006342799,0.005551244,0.00007555472,0.0000150567,0.0001494318,0.0005266028,0.9254975,0.001301125,0.008960281,0.05609977,0.0007546079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03777865,0.00001924928,0.941218,0.01645223,0.001004094,0.001025649,0.000009585444,0.002000445,0.000492149],"genre_scores_gemma":[0.4441516,9.534469e-7,0.5539498,0.0003208641,0.0002159044,0.0001213767,0.00001033598,0.00002143443,0.001207813],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8773684,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06338150051736992,"score_gpt":0.3392275590357428,"score_spread":0.2758460585183729,"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."}}