{"id":"W3179956343","doi":"","title":"PhysarumSM: P2P Service Discovery and Allocation in Dynamic Edge Networks","year":2021,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microservices; Computer science; Orchestration; Cloud computing; Service discovery; Quality of service; Distributed computing; Computer network; Virtualization; Service (business); Enhanced Data Rates for GSM Evolution; Latency (audio); Web service; Operating system; World Wide Web; Telecommunications","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":[0.0008138414,0.0003176953,0.0003104489,0.0003791486,0.001074524,0.001593893,0.001385118,0.0006695425,0.001869247],"category_scores_gemma":[0.001348041,0.0003063637,0.0002440433,0.0004382377,0.0008669755,0.001496934,0.001570508,0.0007669809,0.0006966285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008358987,"about_ca_system_score_gemma":0.001336412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003571116,"about_ca_topic_score_gemma":0.003622537,"domain_scores_codex":[0.9995074,0.0001104477,0.00002185711,0.000125492,0.0001670539,0.00006782575],"domain_scores_gemma":[0.9996448,0.0001085538,0.00003561492,0.00008047827,0.00007140174,0.00005918632],"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":[0.001454523,0.0008613369,0.007697876,0.0005702691,0.0001347832,0.002188504,0.001898469,0.1220936,0.3213243,0.1854327,0.02669039,0.3296533],"study_design_scores_gemma":[0.0001262125,0.0003832525,0.001739122,0.00004028057,0.00004467434,0.0007911586,0.0003388998,0.7861384,0.1079454,0.03110162,0.07128145,0.00006956342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1348142,0.0004842494,0.8260674,0.00122263,0.0001820428,0.0005269623,0.0001735978,0.008299816,0.02822912],"genre_scores_gemma":[0.7348202,0.000400258,0.2501782,0.0003077514,0.0000442101,0.0003099137,0.0002056052,0.0003167572,0.01341702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003571116,"threshold_uncertainty_score":0.007100701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006960465321422824,"score_gpt":0.2200415085190118,"score_spread":0.213081043197589,"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."}}