{"id":"W2080399395","doi":"10.1049/iet-map.2012.0450","title":"Joint wireless communication and radar sensing systems – state of the art and future prospects","year":2013,"lang":"en","type":"article","venue":"IET Microwaves Antennas & Propagation","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Joint (building); Wireless; Computer science; Radar systems; Radar; Remote sensing; Telecommunications; Geology; Engineering; Civil engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001865595,0.0001302825,0.0001887793,0.00004071996,0.0001316826,0.0001565078,0.00006334148,0.0000507098,0.00000131117],"category_scores_gemma":[0.000005178161,0.00009281455,0.0000234852,0.0001129892,0.00008180888,0.0002795128,0.00003596283,0.0001306687,0.000002636451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002731684,"about_ca_system_score_gemma":0.00001280842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008131739,"about_ca_topic_score_gemma":0.00001597227,"domain_scores_codex":[0.9992511,0.00005942767,0.000304275,0.0001283745,0.0001200948,0.0001367404],"domain_scores_gemma":[0.9994894,0.00001463697,0.0001365209,0.0002058817,0.0001187095,0.00003479775],"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":[0.000003384401,0.000007172723,0.0001659742,0.0006408332,0.00002320373,5.706212e-7,0.001203566,0.00008205892,0.9766375,0.0001501627,0.0003560876,0.02072949],"study_design_scores_gemma":[0.001167675,0.0001276903,0.03849362,0.003412367,0.00007650963,0.0004306156,0.004093572,0.5536149,0.3924444,0.001653827,0.003610479,0.0008742908],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900905,0.004945487,0.00346452,0.0002862492,0.0001937081,0.0006325955,0.000003758643,0.00006233859,0.0003208561],"genre_scores_gemma":[0.9986542,0.0004104115,0.000676766,0.00001327958,0.00006943979,0.00000570339,0.000004998441,0.00002489504,0.0001403481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5841931,"threshold_uncertainty_score":0.3784868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005638405904235463,"score_gpt":0.172160972214191,"score_spread":0.1665225663099556,"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."}}