{"id":"W1859137248","doi":"10.1109/iwsoc.2004.61","title":"SOC design of an IF subsampling terminal for a gigabit wireless LAN with asymmetric equalization","year":2004,"lang":"en","type":"article","venue":"IEEE International Workshop on System-on-Chip for Real-Time Applications","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Gigabit; Computer science; Terminal (telecommunication); Equalization (audio); Bandwidth (computing); Wireless lan; Wireless; QAM; Quadrature amplitude modulation; Computer hardware; Base station; Electronic engineering; Computer network; Engineering; Bit error rate; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002203479,0.0002648685,0.000290647,0.0004500225,0.0001569032,0.00005199874,0.0004867999,0.0001423292,0.000004142054],"category_scores_gemma":[0.00003555748,0.0002400047,0.0000864992,0.0004311638,0.00005899843,0.0001391183,0.00001321443,0.0001213429,0.00002694385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003380795,"about_ca_system_score_gemma":0.00003483118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007240096,"about_ca_topic_score_gemma":0.000003623685,"domain_scores_codex":[0.9985125,0.00001502813,0.0004834922,0.0003864916,0.000337684,0.0002647727],"domain_scores_gemma":[0.9984829,0.0005855345,0.0002237755,0.0004328841,0.0002120637,0.00006283012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003336726,0.0003403975,0.00003300493,0.0002133795,0.0002108301,0.000001580532,0.0001222329,0.8137054,0.006221549,0.1576532,0.000204856,0.02095996],"study_design_scores_gemma":[0.01663645,0.005834786,0.0008269693,0.007183081,0.0005662494,0.0001639407,0.004974732,0.6129929,0.2976807,0.03826837,0.01070074,0.00417102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02619876,0.00001055565,0.9687125,0.00008890739,0.0001996001,0.002062978,0.0002911066,0.0005756078,0.001859971],"genre_scores_gemma":[0.9632517,0.00002422716,0.03206836,0.00002443144,0.0002159511,0.003876154,0.0002706236,0.00008436571,0.0001841856],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.937053,"threshold_uncertainty_score":0.9787109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03550726622755309,"score_gpt":0.3087415705997912,"score_spread":0.2732343043722382,"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."}}