{"id":"W7133026982","doi":"","title":"SilverFace: Automated Authentication of Older Adults using Face Recognition","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facial recognition system; Authentication (law); Overheating (electricity); Biometrics; Face (sociological concept); Activity recognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000764974,0.0006507104,0.0004615196,0.0007414579,0.0002593407,0.0005123707,0.0007811,0.0008073135,0.0104469],"category_scores_gemma":[0.001582475,0.0001991089,0.0003507013,0.0002256991,0.0002575557,0.0009610682,0.0009515356,0.0004899951,0.005087967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003090529,"about_ca_system_score_gemma":0.0003637196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014879,"about_ca_topic_score_gemma":0.002742967,"domain_scores_codex":[0.9994759,0.00007650656,0.00002413738,0.0001408111,0.0002239229,0.00005879112],"domain_scores_gemma":[0.9995529,0.0001025724,0.00004181763,0.00007226777,0.0001888256,0.00004155018],"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":[0.001295157,0.0003589365,0.006524484,0.0001970568,0.00007124311,0.0002713302,0.0002496445,0.001188673,0.06919487,0.0007784475,0.03449593,0.8853743],"study_design_scores_gemma":[0.0009288865,0.006149067,0.1256944,0.0003396634,0.000305765,0.007680297,0.0006024761,0.3868763,0.3626785,0.006349328,0.1020392,0.0003561521],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3418903,0.00289211,0.5726548,0.001665127,0.001100047,0.001775502,0.00399563,0.03994339,0.03408309],"genre_scores_gemma":[0.6604944,0.0009246009,0.2926699,0.0008851367,0.0002073535,0.0007988038,0.003273876,0.0004712259,0.04027469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0104469,"threshold_uncertainty_score":0.03494841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860302592152493,"score_gpt":0.3436476968638154,"score_spread":0.3150446709422904,"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."}}