{"id":"W2112724657","doi":"10.1109/tsmcb.2009.2014245","title":"Color Face Recognition for Degraded Face Images","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"National Institute of Standards and Technology","keywords":"Face (sociological concept); Computer vision; Artificial intelligence; Facial recognition system; Computer science; Pattern recognition (psychology); Sociology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003085177,0.0004274863,0.0004360295,0.0002320378,0.0003891195,0.0005002658,0.0004482876,0.0002838979,0.00002361396],"category_scores_gemma":[0.00001254586,0.0004153728,0.0001806044,0.0003041135,0.00009495401,0.0003673957,0.000006034933,0.0002989403,0.0002293558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005165986,"about_ca_system_score_gemma":0.00004520648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000439378,"about_ca_topic_score_gemma":0.00001982766,"domain_scores_codex":[0.9973956,0.0001560514,0.000611788,0.0008169766,0.0004401557,0.0005794069],"domain_scores_gemma":[0.998433,0.0002452827,0.000218887,0.0005749239,0.0002164896,0.0003114022],"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":[0.0006615941,0.003201729,0.00005288276,0.0007037401,0.0004923131,0.0000712954,0.007361561,0.0213826,0.05283018,0.006127727,0.07638263,0.8307317],"study_design_scores_gemma":[0.01306852,0.007884712,0.001607119,0.002666895,0.0007569737,0.0006396858,0.00376791,0.3241811,0.4762101,0.01251619,0.1510824,0.005618407],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0484964,0.0004693712,0.9440597,0.001274576,0.001602743,0.001479133,0.0001814912,0.0003957966,0.002040729],"genre_scores_gemma":[0.9861875,0.0006241672,0.005828031,0.0005352112,0.0001400274,0.0002591619,0.00002929822,0.00003721953,0.006359359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9382317,"threshold_uncertainty_score":0.9998298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242392006122321,"score_gpt":0.2534927829636623,"score_spread":0.2210688629024391,"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."}}