{"id":"W2526698206","doi":"10.21700/ijcis.2016.113","title":"Quality of Protection and Quality of Experience in Multimedia Communications","year":2016,"lang":"en","type":"article","venue":"International Journal of Computing and Information Sciences","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Multimedia; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003101224,0.0000453197,0.0001434832,0.0002544075,0.0000528339,0.00007514244,0.0006836086,0.00002029888,0.000001456648],"category_scores_gemma":[0.0006210416,0.00003058605,0.00002839796,0.0001875592,0.0003144325,0.003218779,0.0002211375,0.00005729483,3.144444e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002263132,"about_ca_system_score_gemma":0.00008493076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001723613,"about_ca_topic_score_gemma":0.000009060172,"domain_scores_codex":[0.998211,0.0001687366,0.000969788,0.00005899309,0.0005278001,0.00006364289],"domain_scores_gemma":[0.997697,0.0004599935,0.001125366,0.0001197771,0.0005694568,0.00002838271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004231006,0.0001103193,0.06945404,0.00004804921,0.00002287857,2.450461e-7,0.02516704,0.0001409409,0.01252999,0.08552472,0.000009387922,0.8069501],"study_design_scores_gemma":[0.001789984,0.0002669486,0.9002267,0.0005133147,0.000001971893,0.00003557714,0.003837521,0.07244781,0.01581921,0.004384481,0.000503128,0.0001733956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6033801,0.00003885851,0.3947257,0.001460635,0.0001299676,0.00003802452,0.000001359967,0.000003387834,0.0002219973],"genre_scores_gemma":[0.972096,0.0000897113,0.0277246,0.00007456372,0.00001226755,6.294588e-7,1.660402e-7,4.280215e-7,0.00000163213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8307726,"threshold_uncertainty_score":0.2333537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564057367700523,"score_gpt":0.4534516663575191,"score_spread":0.2970459295874668,"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."}}