{"id":"W1485888705","doi":"10.1109/mascots.2006.32","title":"Modelling and Improving Group Communication in Server Operating Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Communication in small groups; Unicast; Kernel (algebra); Computer network; Implementation; Operating system; Group (periodic table); Models of communication; Distributed computing; Multicast; Software engineering","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":[0.00358713,0.001040477,0.001112466,0.0007939833,0.001147307,0.002299634,0.002269265,0.001574344,0.001740962],"category_scores_gemma":[0.02112867,0.0006469335,0.0006298165,0.0008417223,0.001479373,0.004895519,0.001735027,0.001483579,0.0004374784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167918,"about_ca_system_score_gemma":0.002247935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008691769,"about_ca_topic_score_gemma":0.003465618,"domain_scores_codex":[0.9966331,0.00164271,0.0001465488,0.0003943143,0.0007789969,0.0004043316],"domain_scores_gemma":[0.9886955,0.007253496,0.001005467,0.001419181,0.00133609,0.0002902234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001245192,0.0001177346,0.002263703,0.00008969974,0.00002265399,0.00006890798,0.0005070968,0.9535558,0.002417995,0.02115742,0.000511447,0.01916296],"study_design_scores_gemma":[0.000008175879,0.00003009077,0.000144737,0.000004028831,0.000006262689,0.00001201323,0.00003811848,0.9938828,0.000696344,0.004849103,0.0003228984,0.000005412029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2227815,0.000433555,0.7711399,0.0003868051,0.0000447139,0.0001692925,0.00006109637,0.0010518,0.003931384],"genre_scores_gemma":[0.9013724,0.0002935251,0.09630291,0.00003495521,0.0000290849,0.0001512352,0.00008258168,0.0001509227,0.00158235],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008691769,"threshold_uncertainty_score":0.01897079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621427568936996,"score_gpt":0.214144608406387,"score_spread":0.1979303327170171,"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."}}