{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000481444,0.0002476853,0.0003756595,0.00004394198,0.0003976197,0.000357677,0.0008678196,0.0001448928,0.00000240296],"category_scores_gemma":[0.00004008963,0.0002604527,0.0002223617,0.001010568,0.00003457384,0.0002173196,0.0002654069,0.0002200616,0.00004033323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007018095,"about_ca_system_score_gemma":0.0002116292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001561753,"about_ca_topic_score_gemma":0.0000295478,"domain_scores_codex":[0.9976855,0.0001091715,0.0004115289,0.0006319183,0.0002682811,0.000893613],"domain_scores_gemma":[0.9981403,0.0004141988,0.0001556519,0.0008257242,0.0002854136,0.0001786521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000333855,0.00007683205,0.00124173,0.00004727641,0.000142171,0.0001467731,0.0005695896,0.0946819,0.0001116169,0.0007076656,0.8765675,0.02567355],"study_design_scores_gemma":[0.0008233428,0.0001010815,0.001027657,0.0001434111,0.00004828932,0.00005546794,0.00001342789,0.3982733,0.0008367239,0.007095365,0.5909437,0.0006381974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05115996,0.001847895,0.7567444,0.001214553,0.1849416,0.0004005752,0.000001104909,0.0005550171,0.003134799],"genre_scores_gemma":[0.5385991,0.0001665377,0.1289715,0.009743319,0.3147838,0.0001044858,0.00007900669,0.0001983491,0.007353878],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6277729,"threshold_uncertainty_score":0.9999847,"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."}}