{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001152205,0.0006370357,0.001136058,0.0006378536,0.0004961431,0.002536124,0.0006608053,0.0001820897,0.00008872927],"category_scores_gemma":[0.00006413863,0.0005074622,0.0004848143,0.002886067,0.0009247689,0.00162892,0.0001509278,0.001675519,0.00002148217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000931394,"about_ca_system_score_gemma":0.000112054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001541503,"about_ca_topic_score_gemma":0.0001714262,"domain_scores_codex":[0.994821,0.0006241575,0.001980687,0.0008341245,0.0007421722,0.0009978914],"domain_scores_gemma":[0.9965572,0.0006916853,0.001123899,0.0003091852,0.0006566499,0.0006613271],"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":[0.0002042763,0.00005661762,0.00003984648,0.00003023895,0.0002116474,0.0004065853,0.000612676,0.3426957,0.00004252272,0.0001181202,0.00001734736,0.6555644],"study_design_scores_gemma":[0.00005782953,0.002929879,0.00001724719,0.0008140552,0.0004230052,0.001527612,0.003300497,0.9896647,0.0003041907,0.0002485722,0.00008476694,0.0006276168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08134519,0.01084202,0.9026405,0.001021019,0.003816946,0.0002280811,0.000005863844,0.00007090192,0.00002945612],"genre_scores_gemma":[0.9911124,0.004439165,0.0009964691,0.0004720671,0.002890948,0.000007217816,0.000006963315,0.00005074078,0.00002398804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9097673,"threshold_uncertainty_score":0.9997377,"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."}}