{"id":"W3160337074","doi":"10.1109/icassp39728.2021.9413898","title":"Real Versus Fake 4k - Authentic Resolution Assessment","year":2021,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Frame (networking); Image resolution; Resolution (logic); Construct (python library); Computer vision; Superresolution; Image (mathematics); Pattern recognition (psychology)","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":[0.0003433811,0.0001000288,0.0001199258,0.0000423049,0.0001363477,0.0002772736,0.0003653544,0.00004469297,0.0001722636],"category_scores_gemma":[0.00002744634,0.00009436897,0.00007461078,0.0002897634,0.00002083095,0.000473348,0.0003359015,0.0001140163,0.0001298664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142346,"about_ca_system_score_gemma":0.0003856026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001353917,"about_ca_topic_score_gemma":0.0001500891,"domain_scores_codex":[0.9985957,0.0001607936,0.0002150805,0.0003691682,0.0003873129,0.0002719901],"domain_scores_gemma":[0.9989859,0.0001063541,0.00005011787,0.0006571182,0.0001183551,0.00008210476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000111321,0.0002759361,0.0002108018,0.00002345755,0.00005670356,0.0001652836,0.0005592945,0.00006667421,0.003365405,0.9585893,0.01238008,0.02429597],"study_design_scores_gemma":[0.007899373,0.0009981336,0.09930123,0.0001136094,0.0001237093,0.0000934836,0.002384749,0.6830995,0.03667322,0.03345926,0.1340274,0.001826279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006737964,0.00003431259,0.8942396,0.005260046,0.001146389,0.0000772542,0.000001199227,0.000221442,0.09228178],"genre_scores_gemma":[0.7375304,0.00006398051,0.2506791,0.0006872478,0.0001489872,0.00002021466,0.00002157125,0.00001003852,0.01083855],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.92513,"threshold_uncertainty_score":0.3848255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05176358954835644,"score_gpt":0.3644165587193787,"score_spread":0.3126529691710223,"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."}}