{"id":"W2979768185","doi":"10.1049/joe.2019.0751","title":"Method to suppress narrowband interference for OFDM radar","year":2019,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Orthogonal frequency-division multiplexing; Computer science; Radar; Electronic engineering; Interference (communication); Narrowband; Telecommunications; Engineering; Channel (broadcasting)","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":[0.0003224971,0.0003526871,0.000302368,0.0003402308,0.0002681048,0.0003581537,0.0005004074,0.0004672962,0.003103263],"category_scores_gemma":[0.0007429089,0.0001097358,0.0003125193,0.0003263446,0.000414005,0.0004787653,0.0005151026,0.0007755735,0.0009160881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001953982,"about_ca_system_score_gemma":0.0004832577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003887292,"about_ca_topic_score_gemma":0.0004921741,"domain_scores_codex":[0.9997943,0.00004830471,0.000009415562,0.00003002825,0.0001071278,0.00001078954],"domain_scores_gemma":[0.9998251,0.00006806655,0.000016285,0.00002433373,0.00005767991,0.00000852199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000151839,0.0001134775,0.0005545377,0.0004442238,0.00004673639,0.0002347848,0.0002724931,0.1386691,0.1234025,0.2421336,0.006982758,0.486994],"study_design_scores_gemma":[0.00001415963,0.00006740702,0.0001517294,0.00001565476,0.000007873268,0.0002250242,0.00002491808,0.9553118,0.01868243,0.01532482,0.01015631,0.0000179046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001612749,0.00007957391,0.9962928,0.00004501606,0.0000310298,0.0000172713,0.0000113311,0.00008789987,0.001822348],"genre_scores_gemma":[0.09527354,0.00033273,0.897262,0.0001380876,0.00006931605,0.0001508546,0.0001092177,0.00009833126,0.006565923],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003103263,"threshold_uncertainty_score":0.0103814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00896588070371665,"score_gpt":0.2333597618976016,"score_spread":0.224393881193885,"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."}}