{"id":"W6990700784","doi":"","title":"Efficient and effective objective image quality assessment metrics","year":2018,"lang":"en","type":"other","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Image quality; Pooling; Image processing; Quality Score; JPEG; Pattern recognition (psychology); Image (mathematics); Quality (philosophy); Subjective video quality","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":[0.00343849,0.001540043,0.001062321,0.003028785,0.0003623371,0.002615917,0.001244237,0.0007861463,0.001846685],"category_scores_gemma":[0.009746996,0.0003052078,0.000635069,0.00168283,0.0005907507,0.002976892,0.001297059,0.0009429249,0.0008972756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777559,"about_ca_system_score_gemma":0.0007973029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013792,"about_ca_topic_score_gemma":0.0009566507,"domain_scores_codex":[0.9957838,0.0009592284,0.0004047843,0.0004759143,0.002235444,0.0001408173],"domain_scores_gemma":[0.9941256,0.0009817759,0.0009153917,0.0005251555,0.003336587,0.0001154937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003565175,0.000229273,0.0046186,0.001130844,0.0001369217,0.0001222901,0.0002015738,0.03791435,0.1352208,0.01489769,0.005435943,0.7997352],"study_design_scores_gemma":[0.00007634206,0.001335478,0.01609349,0.0003368164,0.000216094,0.0008271457,0.0003505441,0.7084926,0.233145,0.01337449,0.0254515,0.0003005153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01867918,0.00186039,0.9751433,0.0001299994,0.00007846562,0.0003273732,0.0003265279,0.0009319477,0.002522835],"genre_scores_gemma":[0.2394434,0.00216975,0.7535292,0.0001132999,0.0001243552,0.0005283009,0.001302211,0.0003152958,0.002474211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00343849,"threshold_uncertainty_score":0.01818466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601324910627522,"score_gpt":0.3186406304829729,"score_spread":0.3026273813766976,"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."}}