{"id":"W2134374744","doi":"10.1145/775832.775982","title":"Synthesizing optimal filters for crosstalk-cancellation for high-speed buses","year":2003,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Crosstalk; Computer science; Electronic engineering; Performance metric; Bandwidth (computing); Computer engineering; Algorithm; Telecommunications; Engineering","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":[0.0001970146,0.0002022798,0.0002012191,0.00009473773,0.0001285327,0.00008704196,0.0001154369,0.00009345396,0.0001294693],"category_scores_gemma":[0.00007242203,0.0001959252,0.00007922209,0.0001236751,0.00002718938,0.0003307159,0.000006228358,0.00005571899,0.00002486364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109593,"about_ca_system_score_gemma":0.00002458502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007732304,"about_ca_topic_score_gemma":0.000006445916,"domain_scores_codex":[0.9989932,0.000008270309,0.0002551973,0.0002145092,0.0001114423,0.0004173458],"domain_scores_gemma":[0.9993841,0.0002456905,0.00003423316,0.000208247,0.00006420276,0.00006350674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001465669,0.00004786065,0.0004048461,0.0005446741,0.0001783474,0.000001634227,0.0006944145,0.8128661,0.1408283,0.01478053,0.02293267,0.006574075],"study_design_scores_gemma":[0.001475735,0.0001498851,0.0003295476,0.00004816065,0.00004709111,0.000003979221,0.0001186334,0.2172694,0.7350342,0.0003511314,0.04459411,0.0005781747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3521547,0.0001514668,0.6425349,0.00003957064,0.0009063008,0.0009223197,0.00003409432,0.0005620885,0.002694576],"genre_scores_gemma":[0.9040197,0.00002204137,0.09455743,0.00004328905,0.0001139759,0.0001219737,0.00001609428,0.00007746396,0.001028017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5955967,"threshold_uncertainty_score":0.7989599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482970506909294,"score_gpt":0.2177585780559009,"score_spread":0.202928872986808,"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."}}