{"id":"W1977829609","doi":"10.1109/mmsp.2005.248598","title":"Centralized P2P Streaming with MDC","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Bottleneck; Computer network; Video streaming; Live streaming; Peer-to-peer; Frame (networking); Linear network coding; Coding (social sciences); Distributed computing; Server; Content distribution; Network packet; Embedded 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":[],"consensus_categories":[],"category_scores_codex":[0.00005093664,0.00009148919,0.00008824294,0.00004611635,0.00005734459,0.00006989756,0.000694267,0.00002208395,0.00009721453],"category_scores_gemma":[0.000008134546,0.00006245553,0.00001630805,0.0001642513,0.0000209978,0.0009552952,0.0002401106,0.0000678456,0.00004739918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002529418,"about_ca_system_score_gemma":0.00001973415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001129144,"about_ca_topic_score_gemma":0.00001241875,"domain_scores_codex":[0.9992238,0.00001731031,0.0001096457,0.0002599134,0.0001787782,0.0002105778],"domain_scores_gemma":[0.999204,0.00003348031,0.000041799,0.0006148281,0.00003141972,0.00007449495],"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":[0.00001202681,0.0001004494,0.000434187,0.000004870352,0.00000963173,0.00001770528,0.0001615544,0.0001818076,0.006268707,0.2091459,0.01454158,0.7691216],"study_design_scores_gemma":[0.001127672,0.0002026038,0.001151943,0.00008808524,0.000005261138,0.00006598414,0.00003385613,0.06528405,0.4620395,0.006452423,0.4628987,0.0006499772],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001477669,0.00003333687,0.9865616,0.0007821993,0.00002234397,0.0000888638,0.000001223336,0.0009556069,0.01007716],"genre_scores_gemma":[0.1767997,0.00001205882,0.8218788,0.000432642,0.00002624895,0.000008398266,0.000002010823,0.000005492123,0.0008346176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7684716,"threshold_uncertainty_score":0.2546863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008282347761365723,"score_gpt":0.2493718588927625,"score_spread":0.2410895111313968,"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."}}