{"id":"W1503346029","doi":"10.1007/11575801_11","title":"JXTA Messaging: Analysis of Feature-Performance Tradeoffs and Implications for System Design","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"","keywords":"Computer science; Workload; Peer-to-peer; Grid system; Distributed computing; Feature (linguistics); Limiting; Grid; Computer network; Systems design; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001286393,0.0004551972,0.000919611,0.001271713,0.0002876755,0.0003501154,0.002474064,0.0002829566,9.677142e-7],"category_scores_gemma":[0.00003136162,0.0004133041,0.0002150576,0.001511129,0.0003416399,0.0003372552,0.0004196785,0.0003369005,0.000001696291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115675,"about_ca_system_score_gemma":0.0003543831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008411595,"about_ca_topic_score_gemma":0.00001108832,"domain_scores_codex":[0.9969765,0.00004524241,0.0006446299,0.001312359,0.0004787509,0.0005425364],"domain_scores_gemma":[0.9968871,0.0008015013,0.0005405744,0.001316996,0.0003000419,0.0001538264],"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":[0.00001409244,0.00003819361,0.0007279522,0.0003493062,0.0003256167,0.000004094114,0.0008049169,0.6033784,0.0001257491,0.08524616,0.0001087828,0.3088768],"study_design_scores_gemma":[0.0002266668,0.0001288816,0.002109217,0.0003867768,0.000158372,0.0000413999,2.621571e-7,0.9925834,0.0001980157,0.002321316,0.001382054,0.0004636447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001477135,0.0009414441,0.9959471,0.0006748032,0.0004033805,0.0006391393,0.00004187228,0.0001486213,0.001055924],"genre_scores_gemma":[0.7045109,0.0000275089,0.2949556,0.000128247,0.0001559573,0.00002048009,0.00001893936,0.00001863941,0.0001636974],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7043632,"threshold_uncertainty_score":0.9998319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757912104875988,"score_gpt":0.2562446389223755,"score_spread":0.2286655178736157,"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."}}