{"id":"W2103285753","doi":"10.1109/vetecs.2005.1543922","title":"Optimal Processing of an Impulse Radio Signal Subjected to Narrow Band Interference","year":2005,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Medical Research Council","keywords":"Narrowband; Quantization (signal processing); Impulse radio; Computer science; Electronic engineering; Finite impulse response; Signal processing; Impulse (physics); Ultra-wideband; Telecommunications; Engineering; Digital signal processing; Algorithm; Physics","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":[0.00005857763,0.00009657678,0.0001271186,0.0001410752,0.00003185056,0.00001758821,0.0004100279,0.0000720699,0.0001560198],"category_scores_gemma":[0.00001518403,0.00009423919,0.00001920209,0.0002743554,0.00003825536,0.0001337761,0.00002833634,0.0001402533,0.00001604212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003952561,"about_ca_system_score_gemma":0.00001877024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000160084,"about_ca_topic_score_gemma":0.0001184487,"domain_scores_codex":[0.9994606,0.00001271005,0.000197745,0.0001088626,0.0000573137,0.0001627284],"domain_scores_gemma":[0.9994897,0.00002269573,0.00001808479,0.0003616406,0.00005280868,0.00005511198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002035498,0.00007622757,0.0002465198,0.00002565214,0.00001687988,8.621968e-7,0.001155875,0.04268542,0.8346511,0.0001535992,0.0002536196,0.1207139],"study_design_scores_gemma":[0.0002213943,0.0001360149,0.0006846743,0.00002834899,0.000008663847,0.00002357771,0.0002252144,0.08310085,0.9144503,0.00003488078,0.0008980671,0.0001879641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722513,0.0002161254,0.02291876,0.0001674531,0.0000145578,0.00009107155,0.000002035069,0.0004152072,0.003923465],"genre_scores_gemma":[0.9452884,0.000004807799,0.05454516,0.00002383352,0.00001706111,0.00001771986,0.000003671988,0.00001673147,0.00008264623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1205259,"threshold_uncertainty_score":0.3842963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00803321639540216,"score_gpt":0.228404067965839,"score_spread":0.2203708515704368,"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."}}