{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004899639,0.0001220935,0.0001706754,0.0000800893,0.0001519234,0.00005136084,0.0003877679,0.0001424452,0.0001109343],"category_scores_gemma":[0.0005845723,0.0001109155,0.0002262417,0.0001534031,0.0002045293,0.0002157778,0.00005899864,0.0001799327,0.00001031845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001684921,"about_ca_system_score_gemma":0.00005089542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007019824,"about_ca_topic_score_gemma":5.982441e-7,"domain_scores_codex":[0.9990002,3.841376e-8,0.0003154592,0.0001790761,0.0002962576,0.0002089503],"domain_scores_gemma":[0.9989089,0.00009629294,0.0002015485,0.00004502574,0.0006880768,0.00006020068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002947355,0.00006266592,0.00002473209,0.00007463416,0.0001054757,1.723456e-8,0.0003382187,0.00002711573,0.1958597,0.7869536,0.01129271,0.0052317],"study_design_scores_gemma":[0.001706455,0.0002435889,0.0002589382,0.0004178459,0.0001574943,0.0000180021,0.002292013,0.06475525,0.05988256,0.005234309,0.8644651,0.0005684792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489165,0.000176954,0.0000965142,0.003968752,0.0003608824,0.00040947,0.00001754221,0.0001034049,0.04594996],"genre_scores_gemma":[0.8311689,0.0002849634,0.1641613,0.0002675226,0.001423158,0.000138244,0.00001161165,0.0000604679,0.00248378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8531724,"threshold_uncertainty_score":0.4523004,"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."}}