{"id":"W2029997045","doi":"10.1117/12.591982","title":"<title>Bandwidth reduction for video-on-demand broadcasting using secondary content insertion</title>","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Schedule; Broadcasting (networking); Variable bitrate; Video on demand; Constant bitrate; Scheme (mathematics); Bandwidth (computing); Computer network; Content (measure theory); On demand; Constant (computer programming); Multimedia; Real-time computing; Bit rate; Mathematics; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001911599,0.0002975556,0.0003766115,0.0003179007,0.0003080915,0.0003896845,0.0005175265,0.0002946494,0.002583465],"category_scores_gemma":[0.0006260438,0.0001245998,0.0001986598,0.0003256242,0.0002428609,0.0002840423,0.0002665163,0.0002635947,0.0006058886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005867383,"about_ca_system_score_gemma":0.0006993935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179341,"about_ca_topic_score_gemma":0.002874012,"domain_scores_codex":[0.9998406,0.0000376197,0.000006666126,0.00002320038,0.00005962729,0.00003222633],"domain_scores_gemma":[0.9997366,0.00008247366,0.00003335569,0.00004240456,0.00007765643,0.00002745086],"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":[0.0007767174,0.0002589701,0.00121531,0.0002735917,0.00002870147,0.000209413,0.0001513349,0.1526214,0.2291072,0.0241616,0.01285633,0.5783395],"study_design_scores_gemma":[0.00004896205,0.0001956485,0.0006443351,0.00001011428,0.00002177706,0.0001734094,0.00003304948,0.9515026,0.03881636,0.003976264,0.004561196,0.00001631041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.09142423,0.0003560557,0.8986639,0.0002216107,0.0001016908,0.0001246327,0.0001445623,0.0008979258,0.008065425],"genre_scores_gemma":[0.6307638,0.0002230056,0.3643376,0.00004774877,0.0000676132,0.00007249889,0.0002833559,0.0001015046,0.004102863],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9974166,"threshold_uncertainty_score":0.008642554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451819380269796,"score_gpt":0.2776901911327354,"score_spread":0.2431719973300374,"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."}}