{"id":"W7144251291","doi":"10.71465/ajainn632","title":"Enhancing Facial Recognition Systems with Deep Neural Networks","year":2024,"lang":"","type":"article","venue":"American Journal of Artificial Intelligence and Neural Networks","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deep learning; Convolutional neural network; Facial recognition system; Deep neural networks; Artificial neural network; Face (sociological concept); Software deployment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005192111,0.0005635974,0.0003626597,0.0003268381,0.0002115355,0.0006847943,0.0006170418,0.000509255,0.003566106],"category_scores_gemma":[0.001331941,0.0001998045,0.0003387176,0.0002206011,0.0003025465,0.0009637874,0.001041457,0.000716749,0.001459596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006784642,"about_ca_system_score_gemma":0.0004379577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002688288,"about_ca_topic_score_gemma":0.003604985,"domain_scores_codex":[0.9997019,0.00004109197,0.0000161378,0.00004590511,0.0001567412,0.000038225],"domain_scores_gemma":[0.9997557,0.00007294584,0.00002703401,0.00003878756,0.00009446944,0.00001103456],"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":[0.0001484203,0.0001400522,0.001523587,0.0002299003,0.00007951452,0.0001228789,0.0001136342,0.2082503,0.1316055,0.01570946,0.006332861,0.6357439],"study_design_scores_gemma":[0.00001065769,0.0001053165,0.0006301987,0.00003301131,0.00003925727,0.00009592471,0.00002783158,0.9472692,0.03472568,0.007644599,0.009397464,0.00002090066],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04870971,0.001755166,0.9328783,0.0008376469,0.0002924454,0.0001025845,0.0001289388,0.002436252,0.01285892],"genre_scores_gemma":[0.6942669,0.002469988,0.2885962,0.0007402448,0.0001481919,0.0001159199,0.0003066509,0.0001420499,0.01321385],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003566106,"threshold_uncertainty_score":0.01192987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305352631210544,"score_gpt":0.2673455863581874,"score_spread":0.236810323237133,"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."}}