{"id":"W2066917076","doi":"10.1186/1687-5281-2012-5","title":"Quality of multimedia experience","year":2012,"lang":"en","type":"article","venue":"EURASIP Journal on Image and Video Processing","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Diego; King Fahd University of Petroleum and Minerals; McGill University; American University of Beirut; Arizona State University; Georgia Institute of Technology; National Aeronautics and Space Administration; Boğaziçi Üniversitesi; National Science Foundation","keywords":"Biometrics; Multimedia; Computer science; Quality (philosophy); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001560126,0.0002033531,0.0002937157,0.002366517,0.0004359654,0.003162303,0.000432402,0.0004757257,0.08500998],"category_scores_gemma":[0.01506344,0.00006639303,0.0003437911,0.001803418,0.0003553344,0.002070008,0.001407255,0.0004545559,0.009080334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068758,"about_ca_system_score_gemma":0.0005766603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012433,"about_ca_topic_score_gemma":0.002060724,"domain_scores_codex":[0.998511,0.0003072587,0.00009534401,0.0001045568,0.0008752109,0.0001065269],"domain_scores_gemma":[0.9949839,0.001258825,0.0005113307,0.0003352634,0.001970212,0.0009403545],"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":[0.0003375514,0.00008254874,0.02110182,0.0007016786,0.00006569005,0.0002198128,0.002708351,0.0003564363,0.001179655,0.01145776,0.1494277,0.8123609],"study_design_scores_gemma":[0.00004229008,0.0005201172,0.1299955,0.001576252,0.0001247823,0.002959371,0.004924535,0.001172792,0.001728525,0.0143962,0.8424767,0.00008297791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08471965,0.04289584,0.01520209,0.0144133,0.002041403,0.0004193282,0.01077412,0.0009068993,0.8286274],"genre_scores_gemma":[0.7934799,0.01982267,0.008684823,0.002339846,0.001441201,0.0002099513,0.004035098,0.0005174725,0.1694691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08500998,"threshold_uncertainty_score":0.2843868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06462891515862793,"score_gpt":0.3896402360769244,"score_spread":0.3250113209182964,"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."}}