{"id":"W2793609888","doi":"10.1109/tgcn.2018.2800708","title":"Utilization of Stochastic Modeling for Green Predictive Video Delivery Under Network Uncertainties","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Computer science; Probabilistic logic; Quality of service; Resource allocation; Heuristic; Incentive; Mathematical optimization; Operations research; Computer network; Artificial intelligence","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":[0.0004281767,0.0001527367,0.0002029397,0.0001198999,0.0009033863,0.00006811997,0.0006841768,0.00008017267,0.000002993974],"category_scores_gemma":[8.352881e-7,0.000157316,0.00008569116,0.0004321621,0.000204426,0.0003925087,0.00003064128,0.0001671291,0.000001299617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000508605,"about_ca_system_score_gemma":0.00007551814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007927798,"about_ca_topic_score_gemma":0.0009696993,"domain_scores_codex":[0.9987578,0.0001582347,0.0003822045,0.0002758093,0.0001705909,0.000255319],"domain_scores_gemma":[0.9979865,0.0005035438,0.0001463103,0.000972737,0.0003317255,0.00005917626],"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":[0.0001217895,0.0002198625,0.00001952385,0.00004808484,0.0002317067,1.681016e-7,0.002693366,0.2384144,0.00008829818,0.00579857,0.00008825875,0.752276],"study_design_scores_gemma":[0.0003046888,0.000291273,0.00001059506,0.0001699302,0.00006227595,0.00000238983,0.0001965956,0.9890612,0.00009924248,0.009352622,0.0002988453,0.0001503687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007952526,0.0007983817,0.9967331,0.0008177872,0.0002796772,0.000365382,0.0000103049,0.00008449896,0.000115608],"genre_scores_gemma":[0.9737694,0.0004088904,0.02517843,0.000298237,0.0001669694,0.0000902938,0.000006594131,0.00001488172,0.00006631591],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9729741,"threshold_uncertainty_score":0.6948208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112080554803978,"score_gpt":0.3297725638741003,"score_spread":0.2185645083937026,"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."}}