{"id":"W2001987647","doi":"10.1515/pik-2012-0027","title":"Smooth Resilient Service Provision in Large Heterogeneous Networks","year":2012,"lang":"de","type":"article","venue":"PIK - Praxis der Informationsverarbeitung und Kommunikation","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; University of Manitoba","keywords":"Computer science; Handover; Service (business); Distributed computing; Computer network; Replication (statistics); Code (set theory); Mobile device; Cellular network; Point (geometry); Computer security; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002611384,0.0005970254,0.0004833919,0.0007825957,0.001240763,0.00101127,0.001361677,0.0004749391,0.00002883208],"category_scores_gemma":[0.0001562791,0.0006434144,0.0001675753,0.002158752,0.00005818254,0.007078628,0.001351637,0.001058494,0.001003155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294786,"about_ca_system_score_gemma":0.0002778502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003269539,"about_ca_topic_score_gemma":0.0001319605,"domain_scores_codex":[0.994725,0.0006463481,0.001702204,0.00042898,0.0008450007,0.001652441],"domain_scores_gemma":[0.996452,0.0003778862,0.0008153022,0.001557173,0.0004456835,0.0003519359],"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":[0.0003676065,0.004332485,0.08116956,0.001731779,0.0007101634,0.00002946164,0.2557365,0.2555841,0.0001567795,0.01908936,0.02179361,0.3592986],"study_design_scores_gemma":[0.001243158,0.0001046118,0.01922321,0.0003681722,0.00008963396,0.00001810446,0.0002229302,0.8046314,0.0001443331,0.0001885346,0.1730228,0.0007431074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2588305,0.03796121,0.6429752,0.002991449,0.04199225,0.003744707,0.00001408384,0.0009167054,0.01057384],"genre_scores_gemma":[0.9858996,0.0005862499,0.007753814,0.00232045,0.002619508,0.0000784036,0.0005720392,0.0000559576,0.0001140241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.727069,"threshold_uncertainty_score":0.9997747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941871075465856,"score_gpt":0.2740105516942167,"score_spread":0.2545918409395582,"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."}}