{"id":"W4313886683","doi":"10.1109/jiot.2023.3235618","title":"Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":528,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Signal processing; SIGNAL (programming language); Communications system; Electronic engineering; Wireless; Telecommunications; Radar; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001286356,0.0001115739,0.0002237447,0.0001595637,0.00005290155,0.0001942051,0.0001231742,0.00006694172,0.000006841196],"category_scores_gemma":[0.00009136524,0.00009685252,0.00003055734,0.0001531084,0.00004987726,0.0003017462,0.00002553911,0.0003417616,0.000003156606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002834291,"about_ca_system_score_gemma":0.00001402163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005100836,"about_ca_topic_score_gemma":0.00002686879,"domain_scores_codex":[0.9991556,0.0001121193,0.0003618022,0.00008268742,0.0001432421,0.0001445845],"domain_scores_gemma":[0.9994454,0.0001661177,0.0001184275,0.00008011614,0.0001163637,0.00007359189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002078734,0.00004036708,0.01449843,0.001412405,0.0009209719,0.0001911851,0.06823932,0.008265678,0.5740947,0.00007940505,0.03777636,0.2942733],"study_design_scores_gemma":[0.0006857306,0.0001158201,0.007784344,0.002518697,0.00003749745,0.001170231,0.001718143,0.9374021,0.04582274,0.001345587,0.0009938837,0.0004052357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744757,0.001340355,0.02333723,0.00006924703,0.0002786135,0.00004226984,0.000002435579,0.0000879525,0.0003661318],"genre_scores_gemma":[0.9985309,0.0002939526,0.0009852282,0.00002430885,0.0000359257,2.677345e-7,0.000002660095,0.00002269312,0.0001040403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9291364,"threshold_uncertainty_score":0.3949531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661247735699871,"score_gpt":0.2527757139024723,"score_spread":0.2161632365454736,"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."}}