{"id":"W2021696730","doi":"10.1145/2343456.2343467","title":"HDRchitecture","year":2012,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer graphics (images); Computer science; High-dynamic-range imaging; High dynamic range; Photography; Digital photography; Computer vision; Dynamic range; Artificial intelligence; Art; Visual arts","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":[0.0001003341,0.00003765167,0.00002905621,0.00002685381,0.00001991423,0.00002702708,0.0003086066,0.00001520354,0.00009855493],"category_scores_gemma":[0.000006651564,0.00002858494,0.00001378444,0.00009777459,0.000006689761,0.0004082574,0.0001178481,0.00003717708,0.0002041728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008239987,"about_ca_system_score_gemma":0.000003972817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002638802,"about_ca_topic_score_gemma":2.044912e-7,"domain_scores_codex":[0.9996425,0.000009464983,0.00004052946,0.00006529273,0.00008153986,0.0001606625],"domain_scores_gemma":[0.9996917,0.000008936745,0.000009791626,0.0002445026,0.000009703663,0.0000353241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[6.195934e-7,0.00009738357,0.002101541,0.000005307529,0.000006734087,0.000001697684,0.000953197,6.550987e-7,0.02365894,0.550722,0.1223002,0.3001517],"study_design_scores_gemma":[0.00008123574,0.00003306354,0.003784342,0.000004015884,0.000001331399,0.00001871485,0.000004404241,0.001116519,0.7970573,0.008625355,0.1890568,0.0002169022],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001140838,0.00005049975,0.9038593,0.0003575454,0.0001320235,0.00003634522,3.334859e-8,0.000577895,0.09384548],"genre_scores_gemma":[0.5903927,6.098966e-7,0.4061707,0.0008003548,0.00005507907,0.000005188611,1.235111e-7,0.000001807929,0.002573394],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7733983,"threshold_uncertainty_score":0.2624296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008135398321538334,"score_gpt":0.2390173290825643,"score_spread":0.2308819307610259,"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."}}