{"id":"W2096111816","doi":"","title":"Distributed sliding window scheduling implemented in Java for a JADE agent system","year":2005,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Sliding window protocol; Computer science; Distributed computing; Scheduling (production processes); Scalability; Robustness (evolution); Java; Dynamic priority scheduling; Schedule; Real-time computing; Window (computing); Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004509487,0.0005523042,0.0005938045,0.001251987,0.000326123,0.0002137457,0.001954434,0.0003140227,0.00002936095],"category_scores_gemma":[0.00002886429,0.0006956773,0.0003203456,0.00187537,0.00001568065,0.0005913028,0.0003294724,0.0004101937,0.00003913371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00226755,"about_ca_system_score_gemma":0.0002666648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001793366,"about_ca_topic_score_gemma":0.04578716,"domain_scores_codex":[0.9966345,0.0001762489,0.0005835348,0.001201432,0.0005181823,0.00088606],"domain_scores_gemma":[0.997992,0.0001516008,0.0005285813,0.0009121014,0.000190853,0.0002248853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002788425,0.002008792,0.1313674,0.01037621,0.003427177,0.006610535,0.001210963,0.222988,0.000220636,0.3832695,0.1087417,0.1269906],"study_design_scores_gemma":[0.01027412,0.0004096101,0.002445009,0.003138438,0.0006754036,4.943127e-8,0.08660568,0.3123216,0.003789193,0.0001137552,0.5770686,0.003158545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2554972,0.0006979179,0.7236318,0.0003961311,0.0034473,0.006638282,0.000469185,0.001273394,0.007948826],"genre_scores_gemma":[0.9835757,0.0001064796,0.008459294,0.00009541093,0.0002532889,0.00005908193,0.00384651,0.00007596044,0.003528293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7280785,"threshold_uncertainty_score":0.9995494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548102916997057,"score_gpt":0.2323802673911868,"score_spread":0.2168992382212163,"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."}}