{"id":"W155265210","doi":"10.1007/978-94-007-7584-8_3","title":"A Taxonomy of Color Constancy and Invariance Algorithm","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computational vision and biomechanics","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Color constancy; RGB color model; Color balance; Artificial intelligence; Computer science; Computer vision; Color normalization; Color image; Color histogram; Color model; Process (computing); Algorithm; Image processing; Image (mathematics); Color space","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":[0.00007643989,0.0001801712,0.000252447,0.0001296459,0.00007137116,0.00004346337,0.00009256152,0.0001127861,0.000318511],"category_scores_gemma":[0.000004259728,0.0001560463,0.00004177706,0.00009007319,0.0001146357,0.00005832456,0.00009301904,0.0001638257,0.00001156821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001373329,"about_ca_system_score_gemma":0.00008324919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002458942,"about_ca_topic_score_gemma":0.000004627742,"domain_scores_codex":[0.9992056,0.000007994686,0.0002619108,0.0002693342,0.0001474939,0.0001076987],"domain_scores_gemma":[0.9992955,0.0002603377,0.0001848268,0.0001003516,0.0001023322,0.00005670573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003752989,0.00002894059,0.00001555478,0.00001625432,0.0000184502,5.016737e-7,0.00004360296,0.0001561909,0.0002439882,0.3890954,0.00008074395,0.6102966],"study_design_scores_gemma":[0.0003888425,0.00009280302,0.00004305407,0.0001440596,0.00001845068,0.000003437467,0.0000116611,0.1441734,0.000220008,0.8348138,0.01983192,0.0002585867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008285338,0.0004109236,0.9888227,0.0006414225,0.00009097623,0.0007029647,0.0002467566,0.00001322788,0.008242493],"genre_scores_gemma":[0.8729113,0.00009106873,0.1243096,0.0004079088,0.0001727749,0.00009785457,0.0002907512,0.00003167835,0.001687064],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8720828,"threshold_uncertainty_score":0.6363383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499412760935658,"score_gpt":0.2487640293943751,"score_spread":0.2337699017850185,"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."}}