{"id":"W4232390248","doi":"10.32920/ryerson.14643726","title":"Integration Of RFID With WLAN","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer network; Computer science; Wi-Fi; Access control; Throughput; Interference (communication); Channel (broadcasting); Radio-frequency identification; Wireless lan; Wireless; IEEE 802.11; Physical layer; Media access control; Wireless network; Telecommunications; Computer security","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":[0.0006898465,0.000500729,0.0004071308,0.0004265497,0.0003402491,0.001479985,0.0007908014,0.0008093459,0.001827228],"category_scores_gemma":[0.001174126,0.0003751819,0.000449741,0.0006899169,0.0002542512,0.001712003,0.001367631,0.0007998256,0.001411911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345808,"about_ca_system_score_gemma":0.0004652668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007387798,"about_ca_topic_score_gemma":0.0007115975,"domain_scores_codex":[0.9987349,0.0003414664,0.0000615008,0.0002253334,0.0004461609,0.000190693],"domain_scores_gemma":[0.9994652,0.0001304339,0.00005709582,0.0001325002,0.0001800436,0.0000348264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003831527,0.0004102421,0.01050632,0.0006707903,0.000250148,0.001649,0.0004254572,0.07240056,0.1228131,0.06116705,0.004784552,0.7245397],"study_design_scores_gemma":[0.00006813848,0.001451079,0.008808958,0.0002655406,0.0004877602,0.005137607,0.0005885144,0.6155167,0.1468085,0.02312269,0.1975779,0.0001666132],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08612003,0.004819497,0.8495537,0.0007692418,0.0003628509,0.0001583827,0.00005810367,0.002222248,0.05593583],"genre_scores_gemma":[0.7895629,0.003256659,0.1807329,0.0003954629,0.0002237091,0.00009762564,0.0001884844,0.00008796012,0.02545425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001827228,"threshold_uncertainty_score":0.006112754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011699689536343,"score_gpt":0.2026850232812245,"score_spread":0.192568026385861,"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."}}