{"id":"W2808615169","doi":"10.1109/radar.2018.8378699","title":"Hybrid spread spectrum orthogonal waveforms for MIMO radar","year":2018,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Carleton University","funders":"","keywords":"Orthogonality; Computer science; Algorithm; Ambiguity function; MIMO; Radar; Narrowband; Waveform; Electronic engineering; Spread spectrum; Context (archaeology); Pulse repetition frequency; Telecommunications; Mathematics; Engineering; Code division multiple access","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":[0.0001234468,0.000127198,0.000148461,0.00004612253,0.00009625294,0.00005227186,0.0001033568,0.00003637006,0.0002097421],"category_scores_gemma":[0.000007751578,0.00009657094,0.00006565342,0.00005454637,0.00002988248,0.0001527998,0.00001143547,0.00005734965,0.0001159511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000321285,"about_ca_system_score_gemma":0.00001701903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001793598,"about_ca_topic_score_gemma":0.00003728666,"domain_scores_codex":[0.999261,0.000003085995,0.0001954058,0.0001410186,0.0001131384,0.0002863487],"domain_scores_gemma":[0.9997259,0.00001963929,0.00001863566,0.0001350792,0.00002966273,0.00007112807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003258259,0.0002026727,0.001901469,0.002951392,0.000926328,0.0001062825,0.001926636,0.001962728,0.1634352,0.09015708,0.4032194,0.332885],"study_design_scores_gemma":[0.001316709,0.0003756059,0.000665959,0.0001520228,0.00003359911,0.0001772897,0.0001533356,0.2285217,0.3814104,0.01458621,0.3716369,0.0009702815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3312925,0.0003341754,0.5536523,0.0001836194,0.00149585,0.0003610608,0.00002679168,0.0006994959,0.1119541],"genre_scores_gemma":[0.9922595,0.000003105727,0.004662666,0.00005986189,0.0009752069,0.000009267691,0.000007181146,0.00003715837,0.001986026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.660967,"threshold_uncertainty_score":0.3938049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017371900068851,"score_gpt":0.2138026623751644,"score_spread":0.2036289433744759,"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."}}