{"id":"W3202292180","doi":"10.1109/bmsb53066.2021.9547072","title":"Novel Device-Free Indoor Human Localization using Wireless Radio-Frequency Fingerprinting","year":2021,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Fingerprint (computing); Computer science; FEKO; Transceiver; Wireless; Real-time computing; Trilateration; Fingerprint recognition; Random forest; Received signal strength indication; Channel (broadcasting); Tracking (education); Radio frequency; Artificial intelligence; Computer vision; Antenna (radio); Telecommunications; Acoustics","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":[0.0001096498,0.0002052785,0.0002216033,0.0001512778,0.0002164341,0.0001015256,0.0002974761,0.0002032208,0.0001965052],"category_scores_gemma":[0.0001293098,0.0002227919,0.00006735676,0.0006538118,0.00005071305,0.0002304509,0.000135034,0.0001896948,0.0000156939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142845,"about_ca_system_score_gemma":0.0000415217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007804515,"about_ca_topic_score_gemma":0.0001276052,"domain_scores_codex":[0.998821,0.00001541309,0.0003753116,0.0002530927,0.0001978463,0.0003373684],"domain_scores_gemma":[0.9992098,0.00002915131,0.00004781329,0.0005041782,0.0001602907,0.00004882876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002015022,0.00008566264,0.02035842,0.0004082398,0.000147207,0.00005601292,0.000573737,0.1250096,0.7648728,0.07970724,0.0007443441,0.008034685],"study_design_scores_gemma":[0.0007961526,0.00001110793,0.000914377,0.0001317743,0.0000433698,0.00006259426,0.000537134,0.3926139,0.601397,0.002233767,0.0006989427,0.0005599111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2408531,0.0002552596,0.7499281,0.00003978798,0.0002915163,0.0001011304,0.000005613012,0.001487666,0.007037871],"genre_scores_gemma":[0.983034,0.00002386417,0.01652191,0.0001017743,0.00009103621,0.000007906585,0.00003068929,0.00006014865,0.0001287188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7421808,"threshold_uncertainty_score":0.9085191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406679071963847,"score_gpt":0.2436791134432031,"score_spread":0.2196123227235646,"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."}}