{"id":"W2124636677","doi":"10.1109/pacrim.2007.4313241","title":"WiMAX Interference to MB-OFDM UWB Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orthogonal frequency-division multiplexing; WiMAX; Interference (communication); Electronic engineering; Computer science; Bit error rate; Ultra-wideband; Additive white Gaussian noise; Gaussian noise; Algorithm; Telecommunications; Engineering; Decoding methods; Wireless","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":[0.0001201367,0.0000783286,0.00009329211,0.000133046,0.00002544784,0.00001892577,0.0004204643,0.00007252322,0.00005021221],"category_scores_gemma":[0.00002555419,0.00007465337,0.00001672044,0.0002386136,0.00001741128,0.00004502017,0.00005859681,0.0001342625,0.0004411753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005825011,"about_ca_system_score_gemma":0.00000393726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007530626,"about_ca_topic_score_gemma":0.0001902753,"domain_scores_codex":[0.9994987,0.000005431958,0.0001691857,0.0000847834,0.00004857406,0.0001933041],"domain_scores_gemma":[0.9992645,0.00006179194,0.00000819225,0.0005864102,0.0000275901,0.00005153733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000370878,0.000206674,0.008988612,0.0002303131,0.0002913146,0.00002966267,0.002528872,0.02052611,0.2965899,0.3204629,0.08655079,0.2635578],"study_design_scores_gemma":[0.0006853638,0.0003087562,0.007426692,0.0002533189,0.00003692454,0.0001603669,0.003658026,0.03174619,0.2126694,0.0014943,0.7400885,0.001472155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1924822,0.0005245173,0.5816671,0.0003659997,0.0004306654,0.0002289463,0.000002162846,0.002178102,0.2221204],"genre_scores_gemma":[0.9943197,0.00002125087,0.00455628,0.00006668553,0.00001713393,0.00002122505,0.000001703014,0.00001489075,0.0009811558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8018375,"threshold_uncertainty_score":0.5670564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031807195214619,"score_gpt":0.2265666947280225,"score_spread":0.2162486227758763,"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."}}