{"id":"W4246750209","doi":"10.1007/s005300200061","title":"An integrated runtime QoS-aware middleware framework for distributed multimedia applications","year":2002,"lang":"en","type":"article","venue":"Multimedia Systems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Middleware (distributed applications); Scalability; Distributed computing; Quality of service; Variety (cybernetics); Host (biology); Message oriented middleware; Component (thermodynamics); Adaptation (eye); Software architecture; Computer network; Operating system; Software","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":[0.0005704178,0.000563049,0.0007340006,0.0002201602,0.0005032166,0.0007887263,0.002478337,0.0004770505,0.00004367613],"category_scores_gemma":[0.0002280296,0.0005186059,0.000240209,0.001189152,0.000108449,0.000549768,0.0001502966,0.0004214144,0.0006968147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001852606,"about_ca_system_score_gemma":0.00007131566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002060254,"about_ca_topic_score_gemma":0.00001007106,"domain_scores_codex":[0.9959537,0.0003019347,0.0009868054,0.001194529,0.0006027942,0.0009602642],"domain_scores_gemma":[0.9954649,0.0009462213,0.0004721828,0.001902812,0.0006270511,0.0005868023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001643898,0.007697945,0.01372025,0.00326182,0.001689298,0.0002198158,0.02979622,0.07203398,0.002224523,0.03158759,0.2531963,0.5844079],"study_design_scores_gemma":[0.0007992164,0.0001221775,0.0002335056,0.0002137228,0.00002338479,0.00002794079,0.0003488705,0.8778414,0.00004564531,0.0001335897,0.1196417,0.0005689185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003917768,0.0008583814,0.9894639,0.000242232,0.003296363,0.002662284,0.001422097,0.001545041,0.0001179875],"genre_scores_gemma":[0.7629793,0.00001298363,0.2309382,0.00008533907,0.00174659,0.001823499,0.001922413,0.00007293397,0.0004186943],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8058074,"threshold_uncertainty_score":0.9997265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312172795545852,"score_gpt":0.2708368311129167,"score_spread":0.2377151031574581,"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."}}