{"id":"W2091873835","doi":"10.1504/ijitcc.2013.059399","title":"Inference of network impairment effect on the quality of high definition IPTV distribution","year":2013,"lang":"en","type":"article","venue":"International Journal of Information Technology Communications and Convergence","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"IPTV; Packet loss; Computer science; Quality (philosophy); Network packet; Inference; Video quality; The Internet; Multimedia; Computer network; Artificial intelligence; World Wide Web; Engineering; Operations management","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":[0.0009647182,0.00007168612,0.0001559808,0.0001487225,0.00008746697,0.0000513357,0.001598955,0.00005956867,0.00002293201],"category_scores_gemma":[0.0003254453,0.0000505614,0.00005473608,0.0002806234,0.000212585,0.001044979,0.0003786886,0.0001980471,0.000009620855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004608055,"about_ca_system_score_gemma":0.00007076938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009969289,"about_ca_topic_score_gemma":0.000002844931,"domain_scores_codex":[0.998556,0.0001626754,0.0008301559,0.00004717753,0.0003246925,0.00007925661],"domain_scores_gemma":[0.9965133,0.0005773494,0.001186894,0.0005338898,0.001167116,0.00002145462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001496407,0.00006700647,0.003812022,0.00001169015,0.00005842181,1.002849e-7,0.0002000934,0.00005612464,0.0003459992,0.9422833,0.0002714813,0.0528788],"study_design_scores_gemma":[0.002694901,0.003499185,0.274164,0.0009091054,0.00005579073,0.0000999917,0.001907645,0.02799376,0.05764711,0.6268976,0.003623242,0.0005076443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4229092,0.0001480568,0.5595139,0.01663332,0.0002749763,0.000216079,0.00001799011,0.00002099232,0.0002654899],"genre_scores_gemma":[0.9903489,0.0005077003,0.008887087,0.0002093809,0.000008353191,0.00002082918,0.00001504351,0.000001042621,0.000001669826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5674397,"threshold_uncertainty_score":0.2971283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482889900779829,"score_gpt":0.3173824371533824,"score_spread":0.2925535381455842,"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."}}