{"id":"W2129988102","doi":"10.1109/tpami.2015.2420560","title":"Gaussian-Based Hue Descriptors","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Hue; Artificial intelligence; Subtractive color; Pattern recognition (psychology); Computer vision; Computer science; Gaussian; Mathematics; Color space; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105984,0.0007005525,0.0008531502,0.002752565,0.0005642815,0.002290753,0.001313921,0.0005724012,0.004376806],"category_scores_gemma":[0.003802922,0.0002797428,0.001016714,0.003542667,0.0008376537,0.002538689,0.001505347,0.001074923,0.002477274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009343437,"about_ca_system_score_gemma":0.0009744778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003927126,"about_ca_topic_score_gemma":0.002696498,"domain_scores_codex":[0.9990715,0.0001188103,0.00004642455,0.0001939684,0.0004553261,0.0001138994],"domain_scores_gemma":[0.9985152,0.0002716506,0.0001186032,0.0002945684,0.0007229929,0.00007701854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007154513,0.0002380236,0.006259246,0.0005008678,0.0001979429,0.00025725,0.0003367666,0.08692589,0.06810372,0.1229938,0.01493388,0.6985372],"study_design_scores_gemma":[0.00005979207,0.0002748828,0.01031518,0.0001021448,0.0001821465,0.001157672,0.0004077627,0.8226761,0.05073138,0.07018595,0.04364549,0.000261494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02317294,0.0007949035,0.9646624,0.000116308,0.0001774251,0.0001009951,0.0006886686,0.002042157,0.008244206],"genre_scores_gemma":[0.5462606,0.001540161,0.4394237,0.0002619718,0.0001891263,0.0001689002,0.002741338,0.0009561928,0.00845803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004376806,"threshold_uncertainty_score":0.01464182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061859012752734,"score_gpt":0.2847186307661142,"score_spread":0.2541000406385869,"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."}}