{"id":"W4389077472","doi":"10.23919/cnsm59352.2023.10327791","title":"Data Fabrics for Multi-Domain Information Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Interoperability; Scalability; Middleware (distributed applications); Latency (audio); Distributed computing; Cloud computing; Domain (mathematical analysis); Key (lock); Computer network; Message oriented middleware; Information exchange; Data exchange; Database; World Wide Web; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0004295032,0.00004481193,0.00005580368,0.0000809461,0.00007852459,0.0002492759,0.000739686,0.00002179084,3.805214e-7],"category_scores_gemma":[0.00004989076,0.0000379076,0.00001878763,0.0002201541,0.000004455187,0.001284214,0.0003532581,0.00002929964,0.0002544991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000114882,"about_ca_system_score_gemma":0.00002132518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008886042,"about_ca_topic_score_gemma":0.00000848887,"domain_scores_codex":[0.9994866,0.00001302799,0.0001319128,0.0001202966,0.0001203624,0.0001278001],"domain_scores_gemma":[0.9993313,0.00006035537,0.00003288077,0.0004989079,0.00004666362,0.00002988529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001007141,0.0000457364,0.0004515843,0.0001744326,0.00004971212,0.000006480853,0.001094513,0.002053136,0.0004699557,0.4425901,0.4441642,0.1088901],"study_design_scores_gemma":[0.0001950427,0.000009954688,0.0001269658,0.00000550747,0.00000108058,0.000002347244,0.000132118,0.9110554,0.000004086804,0.00006705575,0.08834539,0.00005500571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001652975,0.00001724552,0.9959747,0.0002647903,0.0006948588,0.0001673638,0.0000537413,0.0004431354,0.000731186],"genre_scores_gemma":[0.8986716,0.00003720054,0.08990577,0.001437727,0.0002279182,0.0001080608,0.001078949,0.00001420053,0.00851858],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9090023,"threshold_uncertainty_score":0.3271156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1368497119781621,"score_gpt":0.3020420972885357,"score_spread":0.1651923853103736,"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."}}