{"id":"W2107973736","doi":"10.1109/essderc.2002.194890","title":"Accurate Delay Metric for On-chip Resistive Interconnect","year":2002,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Metric (unit); Interconnection; Waveform; Resistive touchscreen; Impulse (physics); Computer science; Chip; Electronic engineering; Impulse response; Elmore delay; Delay calculation; Mathematics; Telecommunications; Engineering; Physics; Mathematical analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001408461,0.0001974716,0.0001908346,0.0003292996,0.00006146944,0.00004458109,0.0002080283,0.00008061299,0.0007023141],"category_scores_gemma":[0.0001126256,0.0001656591,0.00008269275,0.0004703327,0.00001718507,0.000216716,0.00001732629,0.000137367,0.001052725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055702,"about_ca_system_score_gemma":0.000003912981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004719674,"about_ca_topic_score_gemma":0.0000095225,"domain_scores_codex":[0.9990903,0.00001406484,0.0002182814,0.0002050238,0.0001252379,0.0003471363],"domain_scores_gemma":[0.9992446,0.0003402388,0.00002207326,0.0002699526,0.00004309007,0.00008009582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002398393,0.0003068841,0.0003950423,0.0004933,0.0009207717,0.00007170776,0.002453335,0.1241248,0.006019576,0.01763933,0.7343973,0.1129382],"study_design_scores_gemma":[0.00185222,0.000643067,0.0009595403,0.00008072609,0.00006670967,0.00001396847,0.0001254081,0.8591836,0.06840397,0.000359415,0.06735992,0.0009514268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2956162,0.001673296,0.3781642,0.0004604862,0.003038739,0.001774383,0.00007163346,0.002935944,0.3162651],"genre_scores_gemma":[0.9934241,0.00008502646,0.003233542,0.0001677074,0.0001223828,0.00008529278,0.000004269467,0.00005499794,0.002822701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7350589,"threshold_uncertainty_score":0.999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929609260817867,"score_gpt":0.2291939456105329,"score_spread":0.1998978530023543,"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."}}