{"id":"W7097763153","doi":"","title":"THE UNIVERSITY OF CALGARY Mitigation of Narrow Band Interference on Software Receivers based on Spectrum Analysis","year":2004,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interference (communication); Software; Software-defined radio; Electromagnetic interference; Signal processing; Spread spectrum; Digital signal processing; Tracking (education); SIGNAL (programming language)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006985082,0.0005851572,0.0004334968,0.001064503,0.001251801,0.002301646,0.0008164225,0.000740902,0.01829691],"category_scores_gemma":[0.00158399,0.0003306876,0.0002929639,0.0007659938,0.0008383356,0.0005072656,0.00130356,0.001217433,0.005702167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003554714,"about_ca_system_score_gemma":0.004109326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07071527,"about_ca_topic_score_gemma":0.09342167,"domain_scores_codex":[0.9993784,0.00007859073,0.00002106886,0.0001363937,0.0002880366,0.00009742354],"domain_scores_gemma":[0.9990503,0.0001683557,0.00004062355,0.0001113448,0.0004910388,0.0001382772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005069903,0.0001404572,0.01021874,0.0003719285,0.0000332808,0.0007324493,0.001255849,0.01289593,0.03408944,0.0306789,0.04374889,0.8653271],"study_design_scores_gemma":[0.0001573858,0.0007890776,0.0271483,0.0007129497,0.00005670159,0.000773093,0.001327507,0.04498931,0.05094366,0.01207504,0.8609126,0.0001142676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2150645,0.0175491,0.1628183,0.01559359,0.002648928,0.0003677863,0.0007675294,0.005785837,0.5794045],"genre_scores_gemma":[0.3514327,0.01105622,0.1554973,0.001273555,0.0005188553,0.000161822,0.0007588404,0.0005556862,0.4787449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07071527,"threshold_uncertainty_score":0.1406074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004844510533320581,"score_gpt":0.1707934007094173,"score_spread":0.1659488901760967,"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."}}