{"id":"W3138218344","doi":"10.1145/2010324.1964935","title":"HDR-VDP-2","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":644,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Luminance; Metric (unit); Computer science; Contrast (vision); Rendering (computer graphics); Visibility; Artificial intelligence; Image quality; Computer vision; Image (mathematics); Optics","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":[0.0001574023,0.0001283747,0.0000936676,0.0002667002,0.000169129,0.00004354293,0.001247779,0.00007328612,0.0001092166],"category_scores_gemma":[0.00001195443,0.0001267242,0.00009720186,0.0006422315,0.00006761617,0.0004904904,0.00001492987,0.0002398598,0.00009730526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001768086,"about_ca_system_score_gemma":0.00002547177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003518882,"about_ca_topic_score_gemma":0.00002709893,"domain_scores_codex":[0.9990646,0.00003574397,0.0001576242,0.0002945518,0.000220483,0.0002269435],"domain_scores_gemma":[0.9985404,0.00004693976,0.00004016628,0.001243117,0.00006569782,0.0000636956],"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":[0.00004959291,0.001942117,0.0005222899,0.00004659775,0.0001942717,0.0000902531,0.004946772,0.0000131592,0.005292971,0.3777274,0.005024851,0.6041498],"study_design_scores_gemma":[0.0007399976,0.001065452,0.005191935,0.00007905656,0.00005571873,0.00005121273,0.00006218143,0.002829059,0.7242422,0.2446259,0.01998973,0.001067632],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001045046,0.00002112625,0.9921511,0.0005164791,0.0003049471,0.0001320276,0.000002108131,0.000825788,0.005001367],"genre_scores_gemma":[0.7257563,0.0001038277,0.2727562,0.001101959,0.00001164651,0.000051543,5.725892e-7,0.00001193853,0.0002059616],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7247113,"threshold_uncertainty_score":0.5167664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04519748489046131,"score_gpt":0.2568153888724903,"score_spread":0.211617903982029,"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."}}