{"id":"W4399154693","doi":"10.1109/wf-iot58464.2023.10539536","title":"M-IIoT System for Reducing Bandwidth Costs in Cloud-Hybrid Multimedia Pipelines","year":2023,"lang":"en","type":"article","venue":"","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Computer network; Cloud computing; Bandwidth (computing); Packet loss; Network packet; The Internet; Real-time computing; Multimedia; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002105719,0.00009938876,0.000143217,0.0002103424,0.00005133727,0.00002538417,0.0002610762,0.00005736238,0.000004823016],"category_scores_gemma":[0.0001520036,0.00009190539,0.00003398685,0.000383697,0.0000182538,0.00004813718,0.00006902245,0.0001087235,0.00005323144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093282,"about_ca_system_score_gemma":0.000008002396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008607294,"about_ca_topic_score_gemma":0.00006443069,"domain_scores_codex":[0.9993585,0.000008801735,0.0002251594,0.0001201059,0.0000502281,0.0002371531],"domain_scores_gemma":[0.9993355,0.0002324532,0.00001828565,0.0003639801,0.00002821929,0.00002159876],"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":[0.00002492036,0.0000659173,0.003050058,0.001082923,0.00007897719,0.0000250116,0.0006674128,0.1209271,0.02171871,0.002165529,0.1343378,0.7158556],"study_design_scores_gemma":[0.0004144952,0.00001711697,0.0007646384,0.0001986523,0.000005432582,0.000008222883,0.0008209957,0.969124,0.0221373,0.00007845865,0.00623626,0.0001944761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594163,0.0006695024,0.01898226,0.0005372489,0.001285139,0.0007473818,0.00005166499,0.01381759,0.004492899],"genre_scores_gemma":[0.9785874,0.00009437484,0.02086204,0.000004075679,0.00007052178,0.0001218214,0.00003248593,0.00002808563,0.0001991951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8481968,"threshold_uncertainty_score":0.3747793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169830224012167,"score_gpt":0.2500867370046081,"score_spread":0.2283884347644864,"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."}}