{"id":"W4206616201","doi":"10.1109/mnet.101.2000668","title":"Serverless Empowered Video Analytics for Ubiquitous Networked Cameras","year":2021,"lang":"en","type":"article","venue":"IEEE Network","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Software deployment; Computer science; Analytics; Cloud computing; Variety (cybernetics); Resource allocation; Field (mathematics); Resource (disambiguation); Ubiquitous computing; Data science; Resource management (computing); Distributed computing; Human–computer interaction; Computer network; Artificial intelligence; Software engineering; 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":[0.0004903904,0.0004189963,0.0003704659,0.000352231,0.0005314871,0.001509345,0.001248635,0.0005082464,0.001995282],"category_scores_gemma":[0.001280766,0.0002277615,0.0001720212,0.0004255621,0.0005930194,0.002622101,0.001478518,0.00106217,0.0005801002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006948354,"about_ca_system_score_gemma":0.0007683904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003320464,"about_ca_topic_score_gemma":0.005752854,"domain_scores_codex":[0.9996744,0.00005924026,0.00001216287,0.00006545491,0.0001241275,0.0000646025],"domain_scores_gemma":[0.9995641,0.0000949104,0.00002637244,0.0001055503,0.0001346052,0.00007441302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009202238,0.0005662022,0.007717566,0.0003948704,0.0001257368,0.001182906,0.0009421761,0.111372,0.1313963,0.2057083,0.05543095,0.4842428],"study_design_scores_gemma":[0.00003085804,0.0001099467,0.001155872,0.00004909418,0.00002566425,0.0002169027,0.0002465981,0.9049355,0.02131356,0.04174165,0.03013848,0.00003593355],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0781718,0.001599165,0.8967689,0.00165284,0.0003245418,0.000163292,0.0001775209,0.004646251,0.01649569],"genre_scores_gemma":[0.8532689,0.0008765873,0.1402155,0.0004381388,0.000165983,0.00006225584,0.0002304832,0.0002231824,0.004519102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003320464,"threshold_uncertainty_score":0.006674945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645375303620445,"score_gpt":0.265692356347023,"score_spread":0.2392386033108186,"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."}}