{"id":"W6901685775","doi":"10.60692/7xnv4-ve908","title":"ADLAuth: Passive Authentication Based on Activity of Daily Living Using Heterogeneous Sensing in Smart Cities","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Authentication (law); Activity recognition; Internet of Things; Wearable computer; Smart environment; Scheme (mathematics); Home automation; Identity (music); The Internet","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":[0.0005060253,0.0001747797,0.0002909756,0.0005923182,0.00007494504,0.0002284354,0.0003204206,0.0001022025,0.000006970809],"category_scores_gemma":[0.00003260585,0.0001651992,0.00008600231,0.0004011378,0.00002171611,0.0009842316,0.00008105858,0.00009799454,0.0001781052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039959,"about_ca_system_score_gemma":0.00007888138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004373356,"about_ca_topic_score_gemma":0.000001011789,"domain_scores_codex":[0.9982128,0.000222701,0.0006457058,0.0002241046,0.0004610591,0.0002336982],"domain_scores_gemma":[0.9984193,0.00005310102,0.0005627507,0.0007158027,0.0001878241,0.00006118241],"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":[0.00005896977,0.00002529658,0.1179477,0.001460943,0.00004875756,0.000004291514,0.8698098,0.00801158,0.0003926193,0.001009633,0.000005288524,0.001225076],"study_design_scores_gemma":[0.0003746948,0.00003886048,0.03680757,0.0006332092,0.000006242846,0.00001355064,0.002502205,0.956647,0.002801944,0.00000202782,0.00000721008,0.0001654443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8099882,7.254237e-7,0.1887454,0.00002944819,0.0004328172,0.000388457,0.00001178305,0.0001063953,0.000296812],"genre_scores_gemma":[0.9992601,1.936336e-8,0.0006081854,0.00007177835,0.00001531446,0.0000077973,0.00000315228,0.000008084017,0.00002554854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9486355,"threshold_uncertainty_score":0.673663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03007509288420565,"score_gpt":0.2184608536073067,"score_spread":0.1883857607231011,"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."}}