{"id":"W2296690173","doi":"10.1109/icip.2015.7351475","title":"Perceptual evaluation of single image dehazing algorithms","year":2015,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Visibility; Computer science; Haze; Artificial intelligence; Computer vision; Image quality; Perception; Image (mathematics)","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":[0.001292621,0.00006515911,0.00008007291,0.00007440906,0.00001958637,0.00005577539,0.0003887528,0.00002449214,0.00005344697],"category_scores_gemma":[0.0001298807,0.00005914967,0.00002413987,0.0001854338,0.00003739316,0.0007799526,0.0001707337,0.00003555838,0.00004811059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001005202,"about_ca_system_score_gemma":0.00009281386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003002401,"about_ca_topic_score_gemma":0.000003568089,"domain_scores_codex":[0.9987867,0.00008491067,0.0001576944,0.000177817,0.0006648079,0.0001280228],"domain_scores_gemma":[0.9989803,0.00001743259,0.00005781706,0.000331568,0.0005684135,0.00004442356],"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":[0.000002673399,0.0002252311,0.0001139498,0.000007167132,0.00001055875,0.000002574526,0.003298454,0.00002983453,0.4489627,0.00505929,0.01514839,0.5271392],"study_design_scores_gemma":[0.0003756006,0.0001982023,0.0001961903,0.00001292923,0.00001016323,0.000005135732,0.0002614503,0.2590033,0.7347447,0.004645294,0.0004099753,0.0001371032],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02274303,0.00003984698,0.9358278,0.0001079812,0.0001239319,0.0001497683,2.39274e-7,0.0002417756,0.04076562],"genre_scores_gemma":[0.5058122,6.358679e-7,0.4939796,0.00004596143,0.00002066469,0.000008714512,9.04336e-7,0.000003255796,0.0001280749],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5270021,"threshold_uncertainty_score":0.2412053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175198403380659,"score_gpt":0.3400034959865563,"score_spread":0.2224836556484904,"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."}}