{"id":"W1973185243","doi":"10.1889/1.2785211","title":"3.2: High Dynamic Range Projection Systems","year":2007,"lang":"en","type":"article","venue":"SID Symposium Digest of Technical Papers","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Dolby (Canada)","funders":"","keywords":"Luminance; High dynamic range; Computer science; Dynamic range; Projection (relational algebra); Image quality; Implementation; Computer vision; Modulation (music); Computer graphics (images); Liquid-crystal display; Spatial light modulator; Artificial intelligence; Image (mathematics); Optics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003403745,0.0004983888,0.0004524702,0.0005444641,0.0004335592,0.001372658,0.0008561657,0.0007659157,0.01857711],"category_scores_gemma":[0.0005879934,0.0003680542,0.0003993863,0.0005573085,0.0003129307,0.001067769,0.0009553054,0.0007563856,0.00514665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512311,"about_ca_system_score_gemma":0.0003612288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008313214,"about_ca_topic_score_gemma":0.0007929119,"domain_scores_codex":[0.9994835,0.0000594306,0.00002592896,0.00007757772,0.0002821863,0.0000713819],"domain_scores_gemma":[0.9996974,0.0000657928,0.00002890341,0.00006369673,0.00011203,0.00003205504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007608855,0.00021454,0.00267571,0.0005869989,0.00009328238,0.001200261,0.000584279,0.01108837,0.5706341,0.02680123,0.01983661,0.3655239],"study_design_scores_gemma":[0.0002651439,0.0009034449,0.006374624,0.0001344782,0.0001282695,0.00872483,0.0001510835,0.1251879,0.6343495,0.008524044,0.2150085,0.0002481781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1310204,0.001502152,0.7674638,0.0005807256,0.0002897668,0.0003638884,0.0005514935,0.0143607,0.08386707],"genre_scores_gemma":[0.6844919,0.0009164898,0.2731652,0.0004224198,0.0001779892,0.0002517281,0.0006821549,0.0004708525,0.03942125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01857711,"threshold_uncertainty_score":0.0621466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004835942415141655,"score_gpt":0.2249603603903148,"score_spread":0.2201244179751731,"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."}}