{"id":"W4403636192","doi":"10.1109/tvt.2024.3484759","title":"Channel Estimation and Pilot Design for Ambient Internet of Things With Frequency Offsets","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Channel (broadcasting); The Internet; Internet of Things; Computer science; Estimation; Computer network; Telecommunications; Electronic engineering; Electrical engineering; Engineering; Embedded system; World Wide Web; Systems engineering","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":[0.0009985584,0.0007815746,0.0006338559,0.0003846482,0.0003077528,0.0005871167,0.0004630026,0.0006731375,0.001003464],"category_scores_gemma":[0.005254891,0.0003584014,0.0002960073,0.0005116779,0.0008462955,0.001177172,0.0009348686,0.0008039427,0.0003451329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721297,"about_ca_system_score_gemma":0.001339532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001486968,"about_ca_topic_score_gemma":0.001275674,"domain_scores_codex":[0.9993234,0.0002449445,0.00003225927,0.0001062541,0.000201797,0.0000913296],"domain_scores_gemma":[0.9978604,0.0012393,0.000241837,0.0001705013,0.0004242619,0.00006364951],"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":[0.0003494269,0.00008214399,0.002454898,0.0004038591,0.00008103104,0.0003949968,0.0002771267,0.7811163,0.02760986,0.04751126,0.001759626,0.1379594],"study_design_scores_gemma":[0.00002656916,0.0001525646,0.0003821546,0.00002565415,0.00002657904,0.0001813682,0.00005199974,0.9840979,0.005075878,0.00875865,0.001200497,0.00002014551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008638668,0.0002071658,0.9902875,0.00008165139,0.00002315637,0.00001809705,0.00002259837,0.00007333947,0.0006478068],"genre_scores_gemma":[0.7206849,0.0009235804,0.276694,0.0001370224,0.0001272257,0.0001396395,0.0001305468,0.00004142197,0.001121517],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001486968,"threshold_uncertainty_score":0.005280912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194366130632652,"score_gpt":0.2188425208351264,"score_spread":0.2068988595287999,"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."}}