{"id":"W4402159876","doi":"10.1109/icc51166.2024.10623020","title":"Performance Analysis of Near-Field ISAC Based on an Accurate Channel Model","year":2024,"lang":"en","type":"article","venue":"","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Field (mathematics); Channel (broadcasting); Telecommunications; Mathematics","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":[0.001664848,0.001179804,0.0009891748,0.00075376,0.0007302793,0.001380675,0.0009185454,0.001049474,0.001427653],"category_scores_gemma":[0.003804866,0.0003579982,0.0004273323,0.000814584,0.001305545,0.001871974,0.001048042,0.0009514345,0.0003861794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457404,"about_ca_system_score_gemma":0.001891428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004448667,"about_ca_topic_score_gemma":0.002492236,"domain_scores_codex":[0.9980862,0.0006223367,0.00003437946,0.0002359073,0.0007301008,0.0002910595],"domain_scores_gemma":[0.997224,0.001221899,0.0002940713,0.0003100233,0.0008535249,0.00009651091],"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":[0.00007622636,0.00002946533,0.0004007289,0.00005535119,0.00001788646,0.00005842142,0.00004508349,0.9660447,0.005074679,0.01714094,0.0005752543,0.01048126],"study_design_scores_gemma":[0.000002468278,0.00003899645,0.00007473083,0.00000383135,0.000005085409,0.00004385634,0.0000146455,0.9973881,0.0008748713,0.001323806,0.0002216622,0.000007969706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05214071,0.000742303,0.9368994,0.0002272393,0.00004822744,0.00005303233,0.0000666731,0.0002792277,0.009543244],"genre_scores_gemma":[0.9649096,0.0005570348,0.0327313,0.00009455967,0.00003642771,0.00004412254,0.00005234771,0.00002945255,0.001545315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004448667,"threshold_uncertainty_score":0.01057428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451024639912276,"score_gpt":0.2628565297104288,"score_spread":0.2383462833113061,"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."}}