{"id":"W4319599294","doi":"10.2352/cic.2022.30.1.32","title":"Laplacian of Logarithm as Illuminant-Invariant Input Space","year":2022,"lang":"en","type":"article","venue":"Color and Imaging Conference","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Standard illuminant; Logarithm; Laplace operator; Artificial intelligence; Invariant (physics); Mathematics; Color constancy; Computer vision; Pixel; Color space; Color balance; Convolutional neural network; Pattern recognition (psychology); Computer science; Color image; Image (mathematics); Image processing; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001156888,0.00007178854,0.000109399,0.00004255923,0.0002841112,0.00003895464,0.0001792829,0.00000563616,0.0007354363],"category_scores_gemma":[0.000004026752,0.00007204545,0.00002716087,0.0001680945,0.0001422262,0.00008693944,0.0002011123,0.0001018717,0.00001117382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000982424,"about_ca_system_score_gemma":0.000136048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004327141,"about_ca_topic_score_gemma":0.000006122182,"domain_scores_codex":[0.9994164,0.00002216004,0.000110121,0.0001932039,0.0001070691,0.0001510441],"domain_scores_gemma":[0.9996424,0.00003526254,0.00007044129,0.0001512362,0.00004735622,0.00005326575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002264284,0.0002278725,0.08413628,0.00001296086,0.00002166368,0.000006051773,0.002429733,0.0000480671,0.028991,0.7915848,0.001926816,0.09059212],"study_design_scores_gemma":[0.003164959,0.000771917,0.09244514,0.00009240801,0.0001872457,0.00007461201,0.04237232,0.1372049,0.04103804,0.1262407,0.5546697,0.001737952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9173198,0.00005625695,0.008029253,0.003776032,0.0001197543,0.0002427986,0.00007636705,0.00002619723,0.07035355],"genre_scores_gemma":[0.9988327,0.000002491666,0.0002684018,0.0001040646,0.00002390623,0.00005812732,0.000009289501,0.000003866662,0.0006971283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6653441,"threshold_uncertainty_score":0.8052511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008717098926293099,"score_gpt":0.2428832029441909,"score_spread":0.2341661040178978,"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."}}