{"id":"W2165892547","doi":"10.1109/ism.2009.54","title":"Quality Assessment of Video Content for HD IPTV Applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"IPTV; Computer science; Video quality; Testbed; PEVQ; Mean opinion score; Multimedia; Quality of experience; Packet loss; Internet Protocol; Subjective video quality; High-definition television; The Internet; Quality (philosophy); Quality of service; Broadband networks; Network packet; Broadband; Computer network; Telecommunications; Artificial intelligence; Image quality; World Wide Web; Engineering","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":[0.0009386056,0.00009774067,0.0002165449,0.00004965778,0.00008810967,0.0001031475,0.0006381641,0.00003704932,0.00001473531],"category_scores_gemma":[0.00001983252,0.00008386076,0.0001022823,0.0001566715,0.00002374668,0.0005221458,0.00005747845,0.00005396934,0.000004054171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004668222,"about_ca_system_score_gemma":0.0001219728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008133454,"about_ca_topic_score_gemma":0.00001542401,"domain_scores_codex":[0.9986486,0.00008952535,0.000463525,0.0003184834,0.0002866472,0.000193203],"domain_scores_gemma":[0.9985439,0.0001582942,0.000162342,0.0007854553,0.0002636678,0.00008637705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002508706,0.0003800069,0.0001968763,0.00001532415,0.000008808307,1.371368e-7,0.00008568774,0.00001409726,0.006248506,0.9093387,0.0004034125,0.08330601],"study_design_scores_gemma":[0.004187141,0.002962366,0.3721106,0.00004573707,0.00005279154,0.000008379895,0.001251662,0.1286315,0.06231924,0.3613185,0.06578308,0.00132903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001473272,0.00002018925,0.9877055,0.003493457,0.00005262448,0.0006324053,0.000007308542,0.0001041309,0.006511055],"genre_scores_gemma":[0.6190667,0.000003044274,0.3784632,0.001906866,0.00003742762,0.0001253183,0.000009222167,0.000002568478,0.0003856526],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6175934,"threshold_uncertainty_score":0.3419743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1530835792585834,"score_gpt":0.4315905462858129,"score_spread":0.2785069670272295,"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."}}