{"id":"W4413122040","doi":"10.1109/ims40360.2025.11103872","title":"Joint 4D Radar and Communication System Enabled by Virtual Transceiver Matrix Architecture for Advanced Automotive Sensing and Connectivity","year":2025,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transceiver; Computer science; Radar; Automotive industry; Joint (building); Architecture; Communications system; Systems architecture; Radar systems; Computer network; Telecommunications; Embedded system; Engineering; Wireless; Aerospace engineering; Geography","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":[0.0002069379,0.0001430518,0.0002615084,0.00006402345,0.0002182297,0.00009090323,0.00004191819,0.0000779451,9.751113e-7],"category_scores_gemma":[0.00002030087,0.0001280046,0.00003094442,0.00008235326,0.00004475556,0.0001146537,0.00001328963,0.0001221927,1.686027e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006221151,"about_ca_system_score_gemma":0.00001646543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007105804,"about_ca_topic_score_gemma":0.00005265835,"domain_scores_codex":[0.9993759,0.00005127929,0.0001946648,0.000168627,0.00006014819,0.0001493171],"domain_scores_gemma":[0.999572,0.0001784029,0.00003033346,0.0001289254,0.00004939254,0.00004099412],"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":[0.000248294,0.00004180416,0.00006409578,0.007408771,0.000531155,0.000006421122,0.007825275,0.03878074,0.6921002,0.01723637,0.002151015,0.2336058],"study_design_scores_gemma":[0.003241701,0.0001134639,0.0002203307,0.001472593,0.0001068693,0.00005336369,0.005569815,0.8868255,0.09789831,0.0008321123,0.003119777,0.0005461684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3423539,0.002374423,0.6533992,0.0001320759,0.00006646985,0.0003748675,0.00001662799,0.0002311981,0.001051242],"genre_scores_gemma":[0.9933249,0.00002166623,0.006389584,0.00002343674,0.00001148212,0.000007667575,0.000006228399,0.00001782414,0.0001972154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8480448,"threshold_uncertainty_score":0.5219877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004272778857259179,"score_gpt":0.2074779041964298,"score_spread":0.2032051253391707,"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."}}