{"id":"W2025723969","doi":"10.1007/s11760-013-0443-4","title":"Image distortion analysis based on normalized perceptual information distance","year":2013,"lang":"en","type":"article","venue":"Signal Image and Video Processing","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Distortion (music); Perception; Artificial intelligence; Computer vision; Image (mathematics); Computer science; Mathematics; Pattern recognition (psychology); Statistics; Psychology; Telecommunications","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":[0.0006747877,0.0006385816,0.0005859681,0.002043706,0.0002743919,0.00103995,0.0007824923,0.000341121,0.002108375],"category_scores_gemma":[0.002814162,0.000186041,0.0007749684,0.001305395,0.000555576,0.001583558,0.0004891831,0.0004924015,0.0004909009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006892114,"about_ca_system_score_gemma":0.0006510079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741762,"about_ca_topic_score_gemma":0.001436948,"domain_scores_codex":[0.9988771,0.0001505216,0.00007013153,0.0001696087,0.0006818238,0.00005079098],"domain_scores_gemma":[0.9984704,0.0003503082,0.0001725458,0.0001787234,0.0007807455,0.00004731517],"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":[0.001180765,0.0001742576,0.004649421,0.0009446584,0.0003578469,0.0006670778,0.0002945491,0.1139941,0.1974203,0.05080242,0.004278122,0.6252365],"study_design_scores_gemma":[0.00002162455,0.0002816528,0.008297667,0.00004154184,0.000150279,0.001422615,0.0001112672,0.8966581,0.07856632,0.006945137,0.007402231,0.0001015134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02908626,0.001339728,0.965924,0.0001097499,0.0001101694,0.00006310588,0.0001186526,0.0003231599,0.002925115],"genre_scores_gemma":[0.577507,0.002533154,0.4132787,0.00007601761,0.0001596581,0.00008891836,0.0005817991,0.0002488529,0.00552586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002108375,"threshold_uncertainty_score":0.007053196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005686627492218529,"score_gpt":0.2294028916019575,"score_spread":0.2237162641097389,"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."}}