{"id":"W2122324098","doi":"10.1007/978-3-642-20798-3_16","title":"Adaptive Transmission of Variable-Bit-Rate Video Streams to Mobile Devices","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Variable bitrate; Real-time computing; Testbed; Base station; Transmission (telecommunications); Bitstream; Mobile device; Video processing; Key (lock); Computer network; Computer hardware; Bit rate; Algorithm; Telecommunications; Decoding methods","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001433305,0.0005658365,0.0007311281,0.0007284273,0.0001815613,0.0002588657,0.00360748,0.0002953747,0.00007393951],"category_scores_gemma":[0.0000303763,0.000487803,0.000150829,0.0008242423,0.0003820375,0.0008635637,0.001089436,0.0005710088,0.00004240523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917567,"about_ca_system_score_gemma":0.0008401771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002230637,"about_ca_topic_score_gemma":0.0000523564,"domain_scores_codex":[0.9959415,0.0001019915,0.0007744774,0.001581393,0.0009398945,0.0006607727],"domain_scores_gemma":[0.9969172,0.0005150013,0.0003960626,0.001452308,0.0004353967,0.0002839725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002784605,0.00008175708,0.000009680159,0.00008710192,0.00002200942,0.00004693562,0.002398504,0.01641619,0.0007528954,0.02839344,0.00002622916,0.9517374],"study_design_scores_gemma":[0.001050763,0.004207066,0.0002577909,0.004110997,0.00007368358,0.00008218621,0.00000423667,0.4636461,0.05055,0.4546538,0.01848601,0.002877374],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007152723,0.000406648,0.9927678,0.00019244,0.0007141735,0.0008240913,0.00001113668,0.00009806872,0.004914148],"genre_scores_gemma":[0.1318557,0.00004885755,0.8651924,0.002107024,0.00021212,0.00005478956,0.000004745288,0.00003920149,0.0004852443],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.94886,"threshold_uncertainty_score":0.9997573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771851928253827,"score_gpt":0.2762212806035182,"score_spread":0.2485027613209799,"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."}}