{"id":"W7126052248","doi":"10.18280/isi.301209","title":"Race Classification by Facial Features Using Convolutional Neural Networks and Capsule Networks: A Study on a Multi-Ethnic Dataset","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Pattern recognition (psychology); Artificial neural network; Feature extraction; Key (lock); Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009533848,0.0005019249,0.0005410601,0.0006165241,0.00123564,0.001537476,0.0005547543,0.0003328722,0.00002462021],"category_scores_gemma":[0.0002562916,0.000519429,0.0001341885,0.001831162,0.0003477891,0.004266869,0.0003399946,0.0005955041,0.00002163599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000499025,"about_ca_system_score_gemma":0.0001833106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002829387,"about_ca_topic_score_gemma":0.0000770592,"domain_scores_codex":[0.9965332,0.0005321339,0.00122205,0.0005755841,0.0005163838,0.000620718],"domain_scores_gemma":[0.9978923,0.000155129,0.0007498069,0.0005808191,0.0004246119,0.0001973032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000308414,0.00111921,0.004160135,0.000369925,0.0008427303,0.000009098401,0.009541797,0.3615731,0.0002907315,0.001414385,0.01856695,0.6018035],"study_design_scores_gemma":[0.001719784,0.0001774492,0.02902652,0.0002391703,0.0001843224,0.00001754525,0.003127224,0.9644542,0.00002566953,0.00004844372,0.0005359753,0.0004436807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09226311,0.002062848,0.9020697,0.0002388739,0.001077055,0.001250859,0.0007785197,0.0001313808,0.0001276053],"genre_scores_gemma":[0.9951785,0.0002490624,0.0008336373,0.0008915069,0.00009729601,0.0000765631,0.002568837,0.00001225945,0.00009230749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9029154,"threshold_uncertainty_score":0.9997257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0402356465874406,"score_gpt":0.2986696062703709,"score_spread":0.2584339596829303,"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."}}