{"id":"W2038078694","doi":"10.1109/icip.2014.7025710","title":"Towards dynamic resource optimization for cloud-based free viewpoint video service","year":2014,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cloud computing; Computer science; Resource (disambiguation); Key (lock); Minification; Resource allocation; Distributed computing; Service (business); Resource management (computing); Scale (ratio); Optimization problem; Computer network; Computer security; Operating system; World Wide Web; Algorithm","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":[0.001118839,0.0001549088,0.0001862835,0.00007680133,0.0001760015,0.0002240694,0.001144923,0.00006904716,0.00005080991],"category_scores_gemma":[0.000178169,0.0001373562,0.00008977887,0.0003231557,0.00001618578,0.0003425583,0.0002543066,0.00009474381,0.00002944482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007564405,"about_ca_system_score_gemma":0.0001053713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001088662,"about_ca_topic_score_gemma":0.00008703241,"domain_scores_codex":[0.9984925,0.0001935585,0.0003054191,0.0004200264,0.0002950891,0.0002934466],"domain_scores_gemma":[0.9982685,0.000244245,0.0001074503,0.001073514,0.0002120966,0.00009423385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009226624,0.0005214238,0.00002199583,0.0007453756,0.00006761756,0.000003851239,0.001351451,0.4275637,0.0009226052,0.3107427,0.04658971,0.2113772],"study_design_scores_gemma":[0.0008057253,0.0001257642,0.00005766055,0.00002568829,0.00000919873,0.000001327567,0.00002944301,0.9612851,0.002073783,0.005455173,0.02993212,0.0001990278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001766574,0.00001912728,0.9593827,0.03561116,0.0002146791,0.0003298256,0.000004514741,0.0002762049,0.003985193],"genre_scores_gemma":[0.03871962,0.000002191637,0.9259044,0.03469845,0.0001187984,0.00008326775,0.00003617229,0.00001983159,0.0004172475],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5337213,"threshold_uncertainty_score":0.5601224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893744785565331,"score_gpt":0.2873776135674638,"score_spread":0.2684401657118105,"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."}}