{"id":"W4413204367","doi":"10.1109/iwrfat65352.2025.11103416","title":"Security Enhancement of CSI-Based Wireless Sensing via Generative AI","year":2025,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Wireless; Generative grammar; Artificial intelligence; Telecommunications","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":[0.0009612528,0.0007721371,0.0007202201,0.0005641642,0.0002959582,0.0007693384,0.001143781,0.0006465511,0.0008776396],"category_scores_gemma":[0.003495887,0.0003618537,0.0008095125,0.0005924956,0.0009622057,0.001353275,0.001624894,0.001194008,0.0003742506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004411585,"about_ca_system_score_gemma":0.0005277965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879465,"about_ca_topic_score_gemma":0.001901694,"domain_scores_codex":[0.9991697,0.0001987086,0.00003562737,0.0002432665,0.0002506829,0.0001020252],"domain_scores_gemma":[0.9984007,0.0008579187,0.0001790135,0.0002915853,0.0001984515,0.00007230172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004797544,0.000163238,0.003732624,0.000184878,0.0001252742,0.0003006698,0.0003507147,0.6286454,0.0622448,0.02154643,0.001476153,0.2807501],"study_design_scores_gemma":[0.000005624236,0.0000530533,0.0004328024,0.000005691552,0.00001411545,0.00008666998,0.00001317397,0.9909292,0.00542697,0.002618192,0.0004021876,0.00001230217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03797581,0.0003032425,0.9589296,0.0001908751,0.00003991272,0.000024677,0.00005169796,0.000669379,0.001814858],"genre_scores_gemma":[0.9159869,0.0003345385,0.08095206,0.0002933918,0.0000525249,0.00004745279,0.0002115317,0.00006413208,0.00205756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001879465,"threshold_uncertainty_score":0.00508368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004568326146155511,"score_gpt":0.2220453596916579,"score_spread":0.2174770335455024,"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."}}