{"id":"W4383109805","doi":"10.1109/iciem59379.2023.10166924","title":"Biometric and RFID Passive Tag based Student Identification System for Secure Attendance Management","year":2023,"lang":"en","type":"article","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Attendance; Biometrics; Computer science; Fingerprint recognition; Identification (biology); Fingerprint (computing); Computer security; GSM; Short Message Service; Reliability (semiconductor); Service (business); Multimedia; Computer network; Business","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":[0.000314214,0.0001535355,0.0001799591,0.0007422482,0.00008346001,0.00009138544,0.0001428301,0.00005814771,0.000006231535],"category_scores_gemma":[0.000008556679,0.0001468091,0.00005099399,0.001452493,0.00001303998,0.00008189522,0.00003098274,0.00004379711,0.0001604836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837515,"about_ca_system_score_gemma":0.000005186451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009525894,"about_ca_topic_score_gemma":0.00001274556,"domain_scores_codex":[0.9988821,0.00002143951,0.0003063832,0.0002677731,0.0002554067,0.0002668613],"domain_scores_gemma":[0.9994622,0.0000804505,0.00004936722,0.0002837409,0.00005991646,0.00006425654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001475211,0.0004291018,0.03586848,0.09542911,0.003764651,0.0004046956,0.004852597,0.2244191,0.1235138,0.06261396,0.3649691,0.08358793],"study_design_scores_gemma":[0.004198868,0.0001564301,0.1856073,0.0006455291,0.0002302785,0.000009631422,0.008558259,0.7159341,0.03935232,0.00004708872,0.04394918,0.001310963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5886725,0.0006321475,0.3924832,0.0003784785,0.005715956,0.004545067,0.0002256739,0.004180286,0.003166679],"genre_scores_gemma":[0.9975494,0.00001279457,0.0004957152,0.00001123992,0.00009819855,0.0005636651,0.00006625883,0.00004481309,0.001157895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.491515,"threshold_uncertainty_score":0.5986699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008290033622478717,"score_gpt":0.2316571914683851,"score_spread":0.2233671578459064,"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."}}