{"id":"W1999062853","doi":"10.1145/360276.360302","title":"Mixing buffers and pass transistors in FPGA routing architectures","year":2001,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Routing (electronic design automation); Interconnection; Field-programmable gate array; Application-specific integrated circuit; Transistor; Computer science; Topology (electrical circuits); CMOS; Parallel computing; Electrical engineering; Engineering; Embedded system; Computer network; Voltage","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005237043,0.0005522354,0.0002780023,0.00064437,0.0004251034,0.001892261,0.0008481911,0.0006075945,0.004117921],"category_scores_gemma":[0.001176516,0.000470283,0.0002090497,0.0005912221,0.0005539472,0.002248263,0.0004424196,0.0005720603,0.0008526288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006236578,"about_ca_system_score_gemma":0.0003407632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006886425,"about_ca_topic_score_gemma":0.001241207,"domain_scores_codex":[0.9997011,0.00007077106,0.00002652776,0.00007301959,0.00008031161,0.00004816594],"domain_scores_gemma":[0.9995073,0.0002177822,0.00008246693,0.00008698498,0.00007124431,0.00003424102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002100448,0.0001587879,0.00298378,0.0006061772,0.00009725936,0.00103242,0.000578048,0.1290514,0.142545,0.4434983,0.003631545,0.2737169],"study_design_scores_gemma":[0.0003494992,0.002149035,0.001875958,0.0002481227,0.0004241992,0.00231488,0.0002770763,0.326207,0.3727761,0.2044386,0.08879784,0.0001417945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2295456,0.004174804,0.7345018,0.0005845992,0.0002700132,0.0001476566,0.0001873676,0.002921181,0.02766697],"genre_scores_gemma":[0.8141156,0.001808539,0.1681907,0.0002327361,0.0001282338,0.00009357774,0.0001217439,0.0002122228,0.01509669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004117921,"threshold_uncertainty_score":0.01377589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007826181841910824,"score_gpt":0.1956980559961299,"score_spread":0.187871874154219,"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."}}