{"id":"W4387574399","doi":"10.1002/9781119827214.ch5","title":"Color Processing for Digital Cameras","year":2023,"lang":"en","type":"other","venue":"","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Rendering (computer graphics); Computer graphics (images); Image processing; Demosaicing; Pixel; Pipeline (software); Digital image processing; Color image; Image (mathematics)","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":[0.000138475,0.0001433496,0.0001887281,0.0001426616,0.00004778186,0.0005307282,0.000524989,0.0001141841,0.00004515125],"category_scores_gemma":[0.00007613617,0.0001164027,0.00007315083,0.0002115445,0.00002437484,0.0002026481,0.0001076814,0.00006184664,0.000222262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001656486,"about_ca_system_score_gemma":0.00008992685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002699438,"about_ca_topic_score_gemma":0.00001721022,"domain_scores_codex":[0.9991854,0.000012271,0.0001094984,0.0003327561,0.0001427483,0.0002173165],"domain_scores_gemma":[0.9994828,0.0001076592,0.00007447725,0.0002546628,0.00003659111,0.00004377971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001720532,0.000008964023,0.000001326868,0.00005090837,0.00001154393,0.00001056029,0.00003507098,6.154864e-7,0.00001844048,0.002148476,0.6620019,0.3357105],"study_design_scores_gemma":[0.0002426753,0.00004152339,0.000002825317,0.0001158175,0.000006113614,0.000004965376,0.000004971166,0.006098189,0.0001433397,0.001586897,0.9915166,0.0002360055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[1.819244e-7,0.0001141911,0.6097506,0.00009759489,0.0002990226,0.0001428715,0.000006168686,0.001117286,0.3884721],"genre_scores_gemma":[0.00001710038,0.000004113409,0.1958191,0.0001964061,0.0002282405,0.00002680061,0.00000288461,0.0002957555,0.8034096],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4149375,"threshold_uncertainty_score":0.5117824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905695215564931,"score_gpt":0.3089830245623615,"score_spread":0.2799260724067122,"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."}}