{"id":"W2911675240","doi":"10.1007/s11066-020-09139-3","title":"Media delivery competition with edge cloud, remote cloud and networking","year":2020,"lang":"en","type":"article","venue":"NETNOMICS Economic Research and Electronic Networking","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Division of Computer and Network Systems","keywords":"Cloud computing; Competition (biology); Enhanced Data Rates for GSM Evolution; Computer science; Business; Internet privacy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001200728,0.0002397975,0.0003461264,0.000121202,0.0005317102,0.0006359407,0.000586591,0.000104572,0.000004674423],"category_scores_gemma":[0.000009233132,0.000241537,0.00004915953,0.0002321161,0.0001960851,0.0003779896,0.000534208,0.0009272165,0.00002186816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000294051,"about_ca_system_score_gemma":0.0002930817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002343047,"about_ca_topic_score_gemma":0.0004083476,"domain_scores_codex":[0.9972304,0.0001934297,0.0003184355,0.0008386335,0.0001987328,0.001220346],"domain_scores_gemma":[0.9985916,0.0005142703,0.0001101424,0.0003499163,0.00005501565,0.0003790362],"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":[0.001214976,0.0000494431,0.004536485,0.00009502689,0.0003523173,0.0001147266,0.00224655,0.005328828,0.0006704148,0.26085,0.006384068,0.7181572],"study_design_scores_gemma":[0.001242562,0.0007126934,0.0001366266,0.0001157392,0.00001325661,0.0001032049,0.0001154978,0.9343342,0.00004044074,0.01302053,0.04972867,0.0004366088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9289874,0.01770369,0.04396661,0.004259638,0.001152877,0.0005106041,0.000003400389,0.0002466948,0.003169031],"genre_scores_gemma":[0.9827684,0.01194844,0.0004514484,0.0005595098,0.00418597,0.000006260384,0.00001229989,0.00003110698,0.00003660358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9290053,"threshold_uncertainty_score":0.9849593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04967125727323413,"score_gpt":0.2594943357424513,"score_spread":0.2098230784692172,"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."}}