{"id":"W2014155684","doi":"10.1145/506443.506502","title":"Helping users determine video quality of service settings","year":2002,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Multimedia; Frame (networking); Video quality; Sample (material); Scaling; Quality (philosophy); Scale (ratio); Video streaming; Quality of service; Service (business); Human–computer interaction; Real-time computing; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002614676,0.00113033,0.0007486109,0.0009492722,0.0005930029,0.001466862,0.001024923,0.001075164,0.005202656],"category_scores_gemma":[0.03479415,0.0003562185,0.0002017538,0.0003816418,0.0002674925,0.00182225,0.00109444,0.0008445454,0.002240095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432866,"about_ca_system_score_gemma":0.0005075887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138564,"about_ca_topic_score_gemma":0.001804233,"domain_scores_codex":[0.9975159,0.001241626,0.0001580514,0.000407119,0.0005763559,0.0001009061],"domain_scores_gemma":[0.9835873,0.008979113,0.001052778,0.001490655,0.004208947,0.0006812537],"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":[0.002176932,0.0006660082,0.03513272,0.0008099361,0.00006701383,0.000559107,0.006616498,0.00350175,0.1084907,0.002380393,0.01239145,0.8272075],"study_design_scores_gemma":[0.001327402,0.00490445,0.1586414,0.0008396778,0.0004767617,0.004926161,0.01757462,0.4183567,0.2470175,0.03061647,0.1139767,0.001342132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4819414,0.0007552576,0.488104,0.001173709,0.0001204599,0.001382478,0.0005590586,0.01347217,0.01249154],"genre_scores_gemma":[0.7622626,0.000296705,0.2341533,0.0002433731,0.00005362839,0.0006059407,0.0002622038,0.0002925455,0.001829774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005202656,"threshold_uncertainty_score":0.01740462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08323082340494088,"score_gpt":0.3304752183083526,"score_spread":0.2472443949034117,"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."}}