{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004826804,0.0003289381,0.0004822779,0.0007609581,0.0004107146,0.000579181,0.001104953,0.000857783,0.003759983],"category_scores_gemma":[0.0008154751,0.0001784021,0.0004321424,0.0004825042,0.0002104299,0.0009614601,0.0007653386,0.0005181442,0.003373679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918355,"about_ca_system_score_gemma":0.0003686206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004277295,"about_ca_topic_score_gemma":0.0004736682,"domain_scores_codex":[0.9991748,0.0001404008,0.00005906886,0.000159393,0.0003851935,0.00008106662],"domain_scores_gemma":[0.9993749,0.00007835128,0.0001201939,0.0001048605,0.0002621146,0.00005957679],"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":[0.0006413223,0.0004080717,0.009368372,0.000507537,0.0000781687,0.0006528185,0.0003593967,0.002609472,0.3676106,0.004695999,0.01200779,0.6010604],"study_design_scores_gemma":[0.0002290355,0.003561794,0.04847383,0.0002998143,0.0004875381,0.01080059,0.0004900043,0.1967644,0.5531767,0.003490202,0.1817318,0.0004942975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.125576,0.00173723,0.8444899,0.0005951468,0.000723212,0.0003192035,0.0004761615,0.009050803,0.01703223],"genre_scores_gemma":[0.8363056,0.0009900492,0.1327587,0.0005992035,0.0003316967,0.0002920381,0.000555492,0.000123204,0.02804415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003759983,"threshold_uncertainty_score":0.01257837,"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."}}