{"id":"W4225166714","doi":"10.18280/ijsse.120214","title":"Face Recognition System for Control Access to Restrictive Domain","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Face recognition and analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facial recognition system; Artificial intelligence; Computer science; Feature extraction; Pattern recognition (psychology); Three-dimensional face recognition; Support vector machine; Face (sociological concept); Face detection; Feature (linguistics); Process (computing); Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002106435,0.0004785946,0.0005228444,0.0005812113,0.0003837329,0.0005277205,0.0007521391,0.0005379725,0.02217218],"category_scores_gemma":[0.0004777971,0.0001314425,0.0002951498,0.0002553244,0.0001769602,0.0006091839,0.0004665503,0.0004969671,0.008740334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003601498,"about_ca_system_score_gemma":0.0004237934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002402287,"about_ca_topic_score_gemma":0.00214024,"domain_scores_codex":[0.9997314,0.00001575752,0.00001188578,0.00008481243,0.0001008945,0.00005521293],"domain_scores_gemma":[0.9998131,0.00001541745,0.00001625297,0.00004020937,0.0001012112,0.00001384421],"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":[0.0008396172,0.0003065924,0.00607245,0.0002178692,0.00005440055,0.0006653758,0.0001871835,0.004738409,0.1705382,0.004075764,0.0647542,0.7475499],"study_design_scores_gemma":[0.0001460959,0.0008575047,0.02945361,0.0001464672,0.000140733,0.003059213,0.0002676174,0.4767533,0.3745155,0.005579466,0.1088727,0.0002077513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2182746,0.001613471,0.6227379,0.001193207,0.001386922,0.0009115431,0.003429809,0.05447269,0.09597991],"genre_scores_gemma":[0.8578466,0.0005382417,0.07335965,0.0008561975,0.0001754393,0.0004663463,0.00300156,0.000286979,0.06346898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02217218,"threshold_uncertainty_score":0.07417333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108910973149947,"score_gpt":0.2410917923026326,"score_spread":0.2302006949876379,"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."}}