{"id":"W4315473471","doi":"10.1109/tip.2023.3234498","title":"Degraded Reference Image Quality Assessment","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Distortion (music); Computer science; Pipeline (software); Image quality; Source code; Quality (philosophy); Data mining; Artificial intelligence; Information retrieval; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001727163,0.001363169,0.0009934703,0.00161148,0.0004276086,0.001716852,0.00200977,0.0009240403,0.004328209],"category_scores_gemma":[0.006830304,0.000373301,0.0009614794,0.001130174,0.0007679921,0.002579642,0.001300169,0.001151173,0.001987834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239949,"about_ca_system_score_gemma":0.0008491441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004818619,"about_ca_topic_score_gemma":0.004014106,"domain_scores_codex":[0.9985978,0.0002078919,0.00008062748,0.0003380365,0.0006529042,0.0001227579],"domain_scores_gemma":[0.997086,0.0004934843,0.0002626691,0.0007205772,0.001361918,0.00007538215],"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":[0.001472469,0.0002960091,0.008308877,0.001031065,0.0003186259,0.0004619918,0.0003307088,0.2207943,0.1111955,0.01964622,0.0146031,0.6215411],"study_design_scores_gemma":[0.00003817621,0.0003694269,0.004602951,0.0000879832,0.0001225688,0.0006666561,0.0000810963,0.8916751,0.07858544,0.009545038,0.01411807,0.0001075381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05188587,0.002845331,0.9305646,0.0002960389,0.0001815368,0.0002672462,0.0009353223,0.004158086,0.008866062],"genre_scores_gemma":[0.6972543,0.001961041,0.2907977,0.000307316,0.0001129588,0.0001459441,0.001997568,0.0005572448,0.006865929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004818619,"threshold_uncertainty_score":0.01447934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042840251152523,"score_gpt":0.3976023353464866,"score_spread":0.2933183102312343,"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."}}