{"id":"W1540825607","doi":"10.1109/icspc.2007.4728602","title":"Multimedia Content Repurposing for Heterogeneous Wireless Clients","year":2007,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Repurposing; Computer science; Computer network; Wireless; Wireless network; Multimedia; Multi-frequency network; Bandwidth (computing); World Wide Web; Wi-Fi array; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006257885,0.000690735,0.0008497472,0.0007138613,0.0008422322,0.001157306,0.001773629,0.0006889786,0.001763614],"category_scores_gemma":[0.001869571,0.000309302,0.0005155735,0.0007962089,0.0003951841,0.001988204,0.001460343,0.0008048379,0.0005212431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006973858,"about_ca_system_score_gemma":0.000583677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002595259,"about_ca_topic_score_gemma":0.002241366,"domain_scores_codex":[0.9995362,0.0001020533,0.00002542724,0.00007997057,0.0001619096,0.00009453224],"domain_scores_gemma":[0.9989177,0.0002192499,0.0001042574,0.0004271352,0.0002081496,0.0001234944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001127023,0.0007474561,0.005282416,0.0001808433,0.0001649484,0.002599197,0.0007173662,0.09897462,0.3313748,0.01771292,0.005138612,0.5359799],"study_design_scores_gemma":[0.00007659211,0.0002474818,0.001557937,0.00001216146,0.00008153538,0.0009590949,0.0002648502,0.8874757,0.09723065,0.006065818,0.005967646,0.00006053846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2771773,0.0007642068,0.7125335,0.0002575063,0.00002715792,0.0002807036,0.00006619037,0.003214643,0.005678765],"genre_scores_gemma":[0.7901427,0.0003394413,0.2049222,0.00007749574,0.00004814785,0.00009919591,0.0002318074,0.000141438,0.003997633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002595259,"threshold_uncertainty_score":0.005899847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04839910518842593,"score_gpt":0.2659830912758814,"score_spread":0.2175839860874554,"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."}}