{"id":"W3163002722","doi":"10.1109/icassp39728.2021.9413884","title":"Capturing Banding in Images: Database Construction and Objective Assessment","year":2021,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Artifact (error); Construct (python library); Image quality; Computer vision; Image (mathematics); Grayscale; Class (philosophy); Database; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002282729,0.0008049756,0.0009944007,0.004879109,0.0004939745,0.00188249,0.002117279,0.0007987158,0.002744726],"category_scores_gemma":[0.007460435,0.0003609441,0.0006548414,0.003011889,0.0004926433,0.001647024,0.001598456,0.0005497778,0.001639719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009599997,"about_ca_system_score_gemma":0.0008887156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007961313,"about_ca_topic_score_gemma":0.006923121,"domain_scores_codex":[0.9975356,0.0003450674,0.0003517857,0.0005352599,0.001067277,0.0001650878],"domain_scores_gemma":[0.9949167,0.0007218356,0.0004680333,0.001383135,0.002296811,0.0002136043],"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":[0.0009886993,0.0013823,0.02678688,0.0008542341,0.0001671921,0.0004615183,0.0002981776,0.02052792,0.04090396,0.002179806,0.01402291,0.8914263],"study_design_scores_gemma":[0.0002139089,0.001621688,0.1103153,0.0002183725,0.0002388808,0.001989433,0.001681542,0.651699,0.1938596,0.004653881,0.03332865,0.000179704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4661692,0.002291587,0.4880926,0.0004379789,0.0001878007,0.004206489,0.02207811,0.009085019,0.007451243],"genre_scores_gemma":[0.5131453,0.001384204,0.4338655,0.0001031646,0.00005812385,0.001729189,0.04613205,0.0003057056,0.003276803],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007961313,"threshold_uncertainty_score":0.01582992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019972079839014,"score_gpt":0.3134371766992164,"score_spread":0.2932374559008263,"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."}}