{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250722,0.0003889485,0.000384608,0.0005947041,0.001263062,0.002756026,0.001220599,0.0006466318,0.005345641],"category_scores_gemma":[0.002416437,0.0003838629,0.0004856333,0.0007805073,0.0006935972,0.002726936,0.002111253,0.001245797,0.001404212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852237,"about_ca_system_score_gemma":0.0009811686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113366,"about_ca_topic_score_gemma":0.001436247,"domain_scores_codex":[0.9991054,0.0002187178,0.0001157796,0.0001281765,0.0002828392,0.0001490304],"domain_scores_gemma":[0.9983197,0.0003465606,0.0001910917,0.0007694191,0.000224156,0.0001489311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001044099,0.0004766652,0.008417823,0.00161884,0.0001652395,0.001139323,0.001123402,0.08527301,0.1108122,0.5179843,0.02984487,0.2421002],"study_design_scores_gemma":[0.0001500326,0.0005662132,0.005824656,0.0003486817,0.0001551879,0.001426369,0.0008493915,0.3867194,0.07443587,0.1201499,0.4092483,0.0001261203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1883308,0.007143888,0.7238339,0.004055943,0.001736961,0.0006204864,0.000915558,0.007375444,0.06598701],"genre_scores_gemma":[0.7970099,0.001679736,0.1885061,0.0004705893,0.0001652843,0.0002512169,0.0007204886,0.0003483319,0.01084828],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005345641,"threshold_uncertainty_score":0.01788294,"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."}}