{"id":"W4400188512","doi":"10.1109/lcomm.2024.3421370","title":"Localization in Multipath Environments via Active Sensing With Reconfigurable Intelligent Surfaces","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multipath propagation; Computer science; Computer network; Channel (broadcasting)","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":[0.0001497576,0.0003345608,0.0002305511,0.0001333525,0.0001384851,0.0002759586,0.0004372336,0.0003129785,0.000281001],"category_scores_gemma":[0.0004115627,0.0001409601,0.0001910484,0.0001545771,0.0004492758,0.000491504,0.0004462979,0.0002739621,0.00009680244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017529,"about_ca_system_score_gemma":0.000169072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005704869,"about_ca_topic_score_gemma":0.0006279962,"domain_scores_codex":[0.9998884,0.00003223567,0.000004227215,0.00002619015,0.00002957209,0.00001936133],"domain_scores_gemma":[0.9998332,0.00007147869,0.00003673125,0.0000249575,0.00002437341,0.000009234125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002742002,0.00005743817,0.002646631,0.0001190838,0.00005138355,0.000440795,0.0003388005,0.5391425,0.2767496,0.006269608,0.0005008151,0.1734092],"study_design_scores_gemma":[0.000009786992,0.0001735956,0.0003912651,0.000004925411,0.00001254362,0.00007377166,0.00004207361,0.9730231,0.02414207,0.001351755,0.0007657408,0.000009436038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.24047,0.0002712535,0.7565455,0.0001575426,0.00003642664,0.00001247901,0.000009496043,0.0004491097,0.002048217],"genre_scores_gemma":[0.9705528,0.00005129135,0.02881521,0.00002634229,0.000008595171,0.000009346321,0.000006417699,0.000007052632,0.0005229589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005704869,"threshold_uncertainty_score":0.001271904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654868403826395,"score_gpt":0.2283831433952395,"score_spread":0.2118344593569756,"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."}}