{"id":"W2155147437","doi":"10.1145/1496046.1496053","title":"Group unicast for the real world","year":2008,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Unicast; Computer science; Broadcasting (networking); Kernel (algebra); Network packet; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001512808,0.0005409213,0.0005670924,0.0006475967,0.0007313744,0.002147277,0.001389531,0.001030696,0.003023109],"category_scores_gemma":[0.009110895,0.000236096,0.0001957869,0.001225684,0.0008778258,0.002797783,0.0008686723,0.001081844,0.0004869458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659239,"about_ca_system_score_gemma":0.001205873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004574989,"about_ca_topic_score_gemma":0.004562825,"domain_scores_codex":[0.99899,0.0003407643,0.00004169182,0.0001328638,0.0003965479,0.00009815173],"domain_scores_gemma":[0.996074,0.001849861,0.0002770663,0.0009518448,0.0007274541,0.0001198702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009597454,0.0003550372,0.009995422,0.0007953257,0.000196185,0.0006657694,0.0005819454,0.4353754,0.03797233,0.2317919,0.02913346,0.2521775],"study_design_scores_gemma":[0.00003353125,0.0001504233,0.001460786,0.0000411129,0.00004218394,0.0003344003,0.0001259798,0.9199598,0.01405042,0.04482223,0.01894693,0.00003229676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3617935,0.009110234,0.5864187,0.00448803,0.0005112759,0.0001491486,0.0007328929,0.007646131,0.02914995],"genre_scores_gemma":[0.9061802,0.0009547494,0.08962828,0.0001452597,0.00005737454,0.00008427618,0.0002160177,0.0002708676,0.002462977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004574989,"threshold_uncertainty_score":0.01203871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05370073624115723,"score_gpt":0.2462940929299298,"score_spread":0.1925933566887726,"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."}}