{"id":"W2026129449","doi":"10.1109/sera.2010.40","title":"Advances in the Design and Implementation of a Multi-tier Architecture in the GIPSY Environment with Java","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Java; Computer science; Architecture; Multitier architecture; Real time Java; Software engineering; Operating system; Software design pattern; Programming language; Software; Distributed computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00174409,0.0005194885,0.0004116642,0.0003991984,0.0003915933,0.002056713,0.002535989,0.0006102636,0.003182214],"category_scores_gemma":[0.00226663,0.0006032898,0.0009701424,0.0004695242,0.0009048316,0.002007391,0.001598001,0.003167584,0.001434764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005985475,"about_ca_system_score_gemma":0.001418691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130087,"about_ca_topic_score_gemma":0.00197295,"domain_scores_codex":[0.998752,0.0002361021,0.0001192188,0.0002268245,0.0005217629,0.0001441979],"domain_scores_gemma":[0.9985783,0.0002863869,0.0001172437,0.000628761,0.0002888159,0.0001004529],"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":[0.0005066697,0.000492926,0.005100289,0.001103866,0.0002429954,0.0007600037,0.001257653,0.04786519,0.302863,0.2266848,0.00851537,0.4046072],"study_design_scores_gemma":[0.000245163,0.0006869683,0.00564196,0.0003619181,0.0004184078,0.001891181,0.0001906482,0.3259105,0.2295557,0.07066216,0.3641675,0.0002679391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006743986,0.0002800498,0.9845322,0.0001436533,0.00005600008,0.00006624406,0.00002961299,0.004577988,0.003570266],"genre_scores_gemma":[0.09048788,0.000910336,0.9006298,0.0002448184,0.00004940298,0.0001229923,0.0002870683,0.001717455,0.005550185],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003182214,"threshold_uncertainty_score":0.01064551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442566388279523,"score_gpt":0.270683599656822,"score_spread":0.2562579357740267,"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."}}