{"id":"W2108590751","doi":"10.1109/icpr.2002.1048393","title":"Active Bayesian color constancy with non-uniform sensors","year":2003,"lang":"en","type":"article","venue":"","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Color constancy; Artificial intelligence; Computer vision; Computer science; Bilinear interpolation; Bayesian probability; Color vision; Optics; Mathematics; Pattern recognition (psychology); Physics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003315358,0.00007155817,0.00007241745,0.00002015734,0.0001404594,0.0000264729,0.00006716596,0.00001134077,0.001394507],"category_scores_gemma":[8.686367e-7,0.00005165639,0.0000247195,0.0002114363,0.0000664523,0.0001017172,0.00000723468,0.00005315508,0.0001066333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001099146,"about_ca_system_score_gemma":0.00008672842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005124842,"about_ca_topic_score_gemma":0.00002489194,"domain_scores_codex":[0.9995499,0.000005725652,0.00006635637,0.0001453338,0.00007174643,0.0001609126],"domain_scores_gemma":[0.9996942,0.00002477395,0.00003165637,0.0001431764,0.00003827806,0.00006796781],"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":[0.00001135443,0.0001535316,0.01550806,0.000001457011,0.0000330571,0.000001046033,0.0003929801,0.0001879838,0.001047479,0.9745643,0.001237762,0.006861023],"study_design_scores_gemma":[0.006483945,0.0009862239,0.02794052,0.00007497735,0.0002064254,0.00002329409,0.06980462,0.01931226,0.3866684,0.07307394,0.4126744,0.002750954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3372023,4.629912e-7,0.04859518,0.0001906057,0.00001452695,0.0001882195,0.000008374055,0.00001652513,0.6137838],"genre_scores_gemma":[0.9920862,1.980008e-7,0.004333512,0.00005581371,0.00001848757,0.00004834023,0.000003350982,0.000004426309,0.003449672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9014903,"threshold_uncertainty_score":0.9995183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005543995926170328,"score_gpt":0.2302296528690802,"score_spread":0.2246856569429099,"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."}}