{"id":"W4408843662","doi":"10.18280/ijsse.150213","title":"Authentication in Liveness Detection Utilizing CNN and MobileViT Algorithm","year":2025,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liveness; Computer science; Authentication (law); Computer security; Algorithm; Computer network; Distributed computing","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":[0.0004032697,0.0007880413,0.0004780379,0.0007894841,0.0002977795,0.0006477204,0.000942893,0.0007041174,0.002664978],"category_scores_gemma":[0.0009830863,0.0002276892,0.000427335,0.0003920345,0.0002917681,0.00108053,0.0007296525,0.0005588471,0.0009108004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007161791,"about_ca_system_score_gemma":0.0005186635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005828795,"about_ca_topic_score_gemma":0.006025629,"domain_scores_codex":[0.9997327,0.00002295333,0.00001437172,0.00007593605,0.00008993359,0.0000640493],"domain_scores_gemma":[0.9998004,0.00002753205,0.00002750135,0.00004263682,0.00008733429,0.0000145958],"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":[0.0008598816,0.0002304379,0.00772355,0.0001320088,0.0001130401,0.0003363273,0.00007832775,0.1197398,0.05413799,0.003959944,0.007083307,0.8056054],"study_design_scores_gemma":[0.00001269867,0.0001164066,0.001932719,0.00001273251,0.00002422799,0.0001652299,0.00002173306,0.9739348,0.02134056,0.0009866136,0.001438968,0.00001320135],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3104101,0.001815843,0.6632931,0.000536621,0.0004101791,0.0002204107,0.0005618639,0.009269743,0.01348224],"genre_scores_gemma":[0.9114618,0.0004119962,0.07836715,0.0002032403,0.00004532319,0.00006271181,0.0008369911,0.00007828569,0.00853245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005828795,"threshold_uncertainty_score":0.01158977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003151912264323287,"score_gpt":0.2060499788882556,"score_spread":0.2028980666239323,"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."}}