{"id":"W4413849418","doi":"10.1007/978-3-031-94458-1_4","title":"Gait4Auth: Enhancing Identification and Security in Gait-Based Authentication","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research and Productivity Council; Queen's University","funders":"","keywords":"Identification (biology); Gait; Authentication (law); Computer security; Computer science; Physical medicine and rehabilitation; Medicine; Biology","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":[0.0004074496,0.0008899154,0.0004973685,0.0007949398,0.0003826629,0.0009988496,0.001148885,0.0009987901,0.0144848],"category_scores_gemma":[0.0009343695,0.0003523387,0.0003907197,0.0007404764,0.0004712878,0.001817707,0.001792163,0.000779378,0.008942277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002814133,"about_ca_system_score_gemma":0.0004122731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008095622,"about_ca_topic_score_gemma":0.001324166,"domain_scores_codex":[0.9995238,0.00006400929,0.00002236923,0.00005455314,0.0002824594,0.00005281978],"domain_scores_gemma":[0.9997017,0.00006789686,0.00001882573,0.000101961,0.00008831788,0.00002135335],"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":[0.0003451438,0.0001767149,0.0006340796,0.0002102023,0.00002911877,0.0004117695,0.0001602182,0.01142741,0.09948019,0.02021237,0.03768404,0.8292288],"study_design_scores_gemma":[0.00008761337,0.0006759401,0.0031346,0.0001471109,0.00009710048,0.003898888,0.0001704893,0.4788042,0.2744357,0.0345899,0.2038036,0.0001548747],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02834687,0.001028276,0.9205765,0.0002590835,0.0006436368,0.0001811291,0.0004384091,0.01669267,0.03183341],"genre_scores_gemma":[0.3039202,0.001830802,0.5407035,0.0004971946,0.0002895067,0.0002100168,0.002318467,0.002164502,0.1480658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0144848,"threshold_uncertainty_score":0.04845643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159006065925367,"score_gpt":0.2411434027281703,"score_spread":0.2252427961356336,"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."}}