{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002486619,0.0002531231,0.000273417,0.00115121,0.0002547153,0.001810051,0.0004655318,0.0006614232,0.002185905],"category_scores_gemma":[0.01663866,0.0001568181,0.0002627145,0.001084636,0.0006829642,0.001723856,0.0006984067,0.0004847412,0.0002160693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007212153,"about_ca_system_score_gemma":0.0002815113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168077,"about_ca_topic_score_gemma":0.0006620034,"domain_scores_codex":[0.9979939,0.0007533425,0.0001568595,0.0001653553,0.000776064,0.0001545708],"domain_scores_gemma":[0.9845639,0.008943895,0.003025776,0.0007002454,0.002200618,0.0005654187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004531381,0.001009972,0.4547482,0.0009018961,0.0006573842,0.001341783,0.003693788,0.054404,0.04354724,0.05777269,0.002758473,0.3746333],"study_design_scores_gemma":[0.0001607131,0.00482535,0.687722,0.0004158893,0.0007759915,0.004638352,0.004396675,0.205618,0.02970716,0.05062925,0.01089456,0.0002160405],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153777,0.005139408,0.06341971,0.0005063764,0.0000886197,0.00006801256,0.0002308816,0.0000613657,0.01510794],"genre_scores_gemma":[0.997363,0.0002816237,0.00170805,0.00002115312,0.00003627211,0.000005354108,0.00004268766,0.000008571594,0.0005332019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002486619,"threshold_uncertainty_score":0.01315063,"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."}}