{"id":"W4399376051","doi":"10.2352/ei.2024.36.11.hvei-223","title":"Background- and Ambient-aware Image Visibility Enhancement for Transparent Displays","year":2024,"lang":"en","type":"article","venue":"Electronic Imaging","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Faurecia (Canada)","funders":"","keywords":"Visibility; Computer science; Computer vision; Image enhancement; Image (mathematics); Computer graphics (images); Artificial intelligence; Materials science; 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":[0.0002139881,0.0005531557,0.0003288356,0.0005148791,0.0002719189,0.0006697946,0.0003822476,0.0003257018,0.000675237],"category_scores_gemma":[0.001031781,0.0001826327,0.0004066382,0.0003382097,0.0002712301,0.000750442,0.0005803021,0.0005162546,0.0002120481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002353265,"about_ca_system_score_gemma":0.000261414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008990184,"about_ca_topic_score_gemma":0.0009505796,"domain_scores_codex":[0.9997528,0.00002785572,0.00001038199,0.00005082809,0.0001201359,0.0000380364],"domain_scores_gemma":[0.9995611,0.000106711,0.00008482047,0.00005380566,0.0001606546,0.00003291848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004967629,0.00009425388,0.001834556,0.0002228638,0.00004994384,0.0002807993,0.0001887968,0.02134593,0.7632564,0.002738107,0.0008442416,0.2086474],"study_design_scores_gemma":[0.00003103552,0.0003925973,0.005028923,0.0000273841,0.00009651126,0.000707942,0.00006922449,0.431188,0.5556614,0.001160749,0.005589104,0.00004712986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1669477,0.001054281,0.8284744,0.00007313324,0.00005570048,0.00003303057,0.00003774595,0.0010409,0.002283225],"genre_scores_gemma":[0.7808114,0.0009643603,0.2157182,0.00006897808,0.00005763428,0.00002430485,0.000130638,0.0001581323,0.002066338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008990184,"threshold_uncertainty_score":0.002258897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375678064953682,"score_gpt":0.2859988205499428,"score_spread":0.272242039900406,"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."}}