{"id":"W4386325756","doi":"10.18280/ts.400431","title":"Deep Learning Based Gender Identification Using Ear Images","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Artificial intelligence; Computer science; Deep learning; Pattern recognition (psychology); Computer vision; Speech recognition; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009360229,0.0001095135,0.00009900441,0.00057393,0.0002974442,0.0003679997,0.0004848618,0.00004775386,0.0002274999],"category_scores_gemma":[0.00004188666,0.0001146739,0.00007365979,0.001994839,0.00003630789,0.0004009088,0.00008254327,0.0001167946,0.000385946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005906261,"about_ca_system_score_gemma":0.00004233784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001619726,"about_ca_topic_score_gemma":9.90337e-7,"domain_scores_codex":[0.9984312,0.0001379182,0.0003021783,0.0003758738,0.0004896844,0.0002631332],"domain_scores_gemma":[0.9993367,0.00007455598,0.0001258965,0.0002619897,0.0001203099,0.00008061159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000040841,0.0009008996,0.01753298,0.0003556413,0.0002217235,0.0001163507,0.008375046,0.1080077,0.5097094,0.03310753,0.01041667,0.3112153],"study_design_scores_gemma":[0.0002789653,0.00001511157,0.0586006,0.000004796777,0.000009123563,0.000002166913,0.0000832436,0.9302902,0.007342574,0.0003274929,0.002894005,0.0001516864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05275796,0.00005235966,0.9458845,0.0003254217,0.0002564605,0.0001470171,0.00000229743,0.0004110026,0.0001630084],"genre_scores_gemma":[0.9921603,0.000008204034,0.00731761,0.0001368471,0.00006759302,0.00001427916,0.00003919988,0.000009830972,0.0002461817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9394023,"threshold_uncertainty_score":0.4960684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05668951340752716,"score_gpt":0.2837552247068762,"score_spread":0.227065711299349,"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."}}