{"id":"W2004052938","doi":"10.1080/2151237x.2009.10129276","title":"Visualizing High Dynamic Range Images in a Web Browser","year":2009,"lang":"en","type":"article","venue":"Journal of Graphics GPU and Game Tools","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Callback; JavaScript; Computer science; Computer graphics (images); Basis (linear algebra); Embedding; High dynamic range; Computer vision; Artificial intelligence; World Wide Web; Dynamic range; Mathematics; Programming language","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":[0.0007654502,0.0001310832,0.0002616051,0.00050397,0.00003897199,0.0002704683,0.0004669086,0.00006511538,0.000005162291],"category_scores_gemma":[0.00006219709,0.0001116822,0.00008416943,0.0004724402,0.00004603097,0.001365389,0.00006289357,0.0003295825,0.000001377384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003099511,"about_ca_system_score_gemma":0.00004384616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004353838,"about_ca_topic_score_gemma":0.000007906136,"domain_scores_codex":[0.9987912,0.00007519282,0.0004288235,0.0001600379,0.0003160902,0.0002286868],"domain_scores_gemma":[0.9992647,0.00007965134,0.0002612784,0.0001954339,0.0001271717,0.00007178864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002183048,0.0009727436,0.01023932,0.0001195387,0.0001104252,0.001687024,0.00317505,0.00002480009,0.2620709,0.08591886,0.007793197,0.6276698],"study_design_scores_gemma":[0.008914508,0.00524585,0.5822252,0.002159324,0.0001036906,0.001615138,0.0001958696,0.02116552,0.05640194,0.3095279,0.01039765,0.002047378],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7619703,0.00239935,0.2302246,0.004380377,0.0002179171,0.0001935172,0.000002625258,0.00009522217,0.000516045],"genre_scores_gemma":[0.977165,0.001516553,0.02038177,0.0008380026,0.00004065001,0.000001486574,3.0117e-7,0.000006018834,0.00005015092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6256225,"threshold_uncertainty_score":0.455427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215452792875708,"score_gpt":0.2781677793258045,"score_spread":0.2660132513970474,"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."}}