{"id":"W2031427617","doi":"10.1109/icc.2012.6364736","title":"Green content distribution in Wireless Mesh Networks with infrastructure support","year":2012,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"King Abdulaziz City for Science and Technology","keywords":"Computer science; Computer network; Wireless mesh network; Upload; Wireless network; Mesh networking; Cache; Distributed computing; Energy consumption; Wireless; World Wide Web; 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":[0.0001914842,0.0001113599,0.0001271158,0.00003311866,0.00004749761,0.00005807535,0.0003070394,0.00005755751,0.00001943088],"category_scores_gemma":[0.000003495032,0.0000791652,0.00003221332,0.0002080347,0.00002475673,0.0005381844,0.0001143073,0.0001682041,0.00001047063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006354895,"about_ca_system_score_gemma":0.00002602764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005091007,"about_ca_topic_score_gemma":0.0001279494,"domain_scores_codex":[0.99912,0.00003649357,0.0001431473,0.000180013,0.0001756754,0.0003446891],"domain_scores_gemma":[0.9995079,0.00002345753,0.00004498265,0.0002708039,0.00004476917,0.0001080846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006048941,0.0001469354,0.736279,0.00001253702,0.00003886186,0.00003986295,0.0005667369,0.0004526331,0.0003583118,0.1799355,0.006435627,0.07567352],"study_design_scores_gemma":[0.001344983,0.0002126615,0.7340893,0.00006342946,0.00001311223,0.0001537128,0.0002050996,0.2613672,0.0002937067,0.0001705949,0.001543199,0.0005430327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4180825,0.00001872478,0.5804462,0.0003246659,0.0001894775,0.00009299986,0.000002800434,0.00009962223,0.0007430346],"genre_scores_gemma":[0.9986656,0.000005525387,0.0003277596,0.0003955885,0.00008370356,0.000007674146,0.00002859696,0.00000448991,0.0004810961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.580583,"threshold_uncertainty_score":0.3228263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425735334002549,"score_gpt":0.2039692412229387,"score_spread":0.1897118878829132,"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."}}