{"id":"W1996941300","doi":"10.1109/icnp.2012.6459975","title":"Towards the optimal caching strategies of peer-assisted VoD systems with HD channels","year":2012,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; FIFO (computing and electronics); Popularity; Computer network; Variety (cybernetics); The Internet; Peer-to-peer; Distributed computing; World Wide Web; 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":[0.0006559692,0.0001216209,0.0001678236,0.00004913044,0.0001282731,0.0003106759,0.0006264016,0.00003599441,0.000003505975],"category_scores_gemma":[0.00001357383,0.00006475855,0.00005592236,0.0001795992,0.00004430909,0.0007654473,0.000140817,0.0001311276,0.000008224589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002114397,"about_ca_system_score_gemma":0.00008133049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703505,"about_ca_topic_score_gemma":0.00002037014,"domain_scores_codex":[0.9988329,0.00008916178,0.0001778038,0.0001592499,0.0004563842,0.0002844527],"domain_scores_gemma":[0.9991996,0.00006447522,0.00009324981,0.0004280145,0.000146103,0.00006856316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005653871,0.0003888188,0.001906931,0.0001459914,0.0003388617,0.00002088983,0.01160836,0.05638084,0.00446663,0.8987908,0.002829628,0.02306576],"study_design_scores_gemma":[0.001772631,0.001041768,0.02389123,0.0003916008,0.0001380452,0.0008168273,0.03546043,0.9265894,0.00354931,0.000264436,0.004885567,0.001198737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3074393,0.0006067907,0.6565563,0.001029774,0.001018833,0.000188017,0.000002209414,0.0002046765,0.03295408],"genre_scores_gemma":[0.9971056,0.00000226477,0.001250077,0.00005068497,0.0001300614,0.00001051119,0.000001054168,0.000006435469,0.001443314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8985263,"threshold_uncertainty_score":0.2995855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0403894913252572,"score_gpt":0.2447116063523779,"score_spread":0.2043221150271207,"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."}}