{"id":"W2947863890","doi":"10.3390/s19112466","title":"ADLAuth: Passive Authentication Based on Activity of Daily Living Using Heterogeneous Sensing in Smart Cities","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Assisted living; Authentication (law); Computer science; Activity recognition; Computer security; Embedded system; Artificial intelligence; Medicine; Gerontology","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":[0.0002779659,0.000126285,0.0002120182,0.0002686955,0.00004827685,0.00006815048,0.0002324931,0.00006810484,0.00001126385],"category_scores_gemma":[0.00008153983,0.00012972,0.00007163356,0.0003069193,0.00003408435,0.0001525975,0.00005967507,0.00010626,0.00003652857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008835968,"about_ca_system_score_gemma":0.00006181851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001937843,"about_ca_topic_score_gemma":0.00003861852,"domain_scores_codex":[0.9986416,0.0002566261,0.0002584627,0.0003247445,0.0003072533,0.0002113674],"domain_scores_gemma":[0.9988036,0.0002895523,0.000193402,0.0005844808,0.00008024168,0.00004874837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002019553,0.001588876,0.07847934,0.001224305,0.0002005064,0.0001049294,0.4621578,0.1040404,0.3212579,0.00743275,0.00004908114,0.02326213],"study_design_scores_gemma":[0.0001976682,0.00004073324,0.01350076,0.0002081591,0.000004277453,0.000006125734,0.0001960945,0.9700241,0.01558761,0.00008341827,0.00001876956,0.0001322482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904629,0.000006193546,0.008557593,0.0001561206,0.0003493479,0.0002270291,0.000002663248,0.00005693811,0.0001812006],"genre_scores_gemma":[0.9989141,5.963683e-7,0.0008961679,0.0000690606,0.00001576957,0.000001046249,0.000001002276,0.00001096293,0.00009129107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8659837,"threshold_uncertainty_score":0.5289829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090287928815416,"score_gpt":0.2469108195432807,"score_spread":0.2260079402551265,"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."}}