{"id":"W4399978663","doi":"10.3390/computers13070159","title":"Enhanced Security Access Control Using Statistical-Based Legitimate or Counterfeit Identification System","year":2024,"lang":"en","type":"article","venue":"Computers","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Accelerometer; Computer science; Identification (biology); Counterfeit; Mobile phone; Biometrics; Access control; Phone; Feature (linguistics); Data mining; Computer security; Real-time computing","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":[],"consensus_categories":[],"category_scores_codex":[0.0001022108,0.0001160619,0.0001669155,0.0001330542,0.00004809044,0.0004897416,0.000125113,0.00003728969,0.00008868884],"category_scores_gemma":[0.000006411761,0.0001062494,0.00005716626,0.0002266543,0.00002149024,0.0001886887,0.00001085328,0.00008147831,0.0001044534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310674,"about_ca_system_score_gemma":0.00002399433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001099033,"about_ca_topic_score_gemma":0.000005094639,"domain_scores_codex":[0.9992757,0.00002974056,0.000236614,0.0001822381,0.0001235841,0.0001520864],"domain_scores_gemma":[0.9996307,0.0001121285,0.00002276188,0.0001230173,0.00004961537,0.00006179061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005481721,0.00005923434,0.00004965832,0.005969569,0.0007148215,0.0002265544,0.000417843,0.9344178,0.02339068,0.002027619,0.006049215,0.02662218],"study_design_scores_gemma":[0.0002292918,0.000005604269,0.00007829681,0.0002747714,0.00008483978,0.000004923468,0.00002509615,0.99602,0.002822125,0.00002622498,0.0003010799,0.0001278087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.048976,0.00006832543,0.9487997,0.00002222124,0.0009360482,0.0001273556,0.0001141969,0.0006919559,0.0002641546],"genre_scores_gemma":[0.9989957,0.000003612147,0.0007475623,0.00005564887,0.00008895116,0.00001549532,0.00005959257,0.00002223467,0.00001116353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9500197,"threshold_uncertainty_score":0.4722589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987084542034336,"score_gpt":0.2821708746114829,"score_spread":0.2623000291911395,"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."}}