{"id":"W2168969474","doi":"10.1109/iccad.1988.122528","title":"Delay computation in switch-level models of non-treelike MOS circuits","year":2003,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Heuristics; Heuristic; Computer science; Transistor; Computation; Electronic circuit; Capacitance; Algorithm; Theoretical computer science; Electronic engineering; Topology (electrical circuits); Parallel computing; Electrical engineering; Voltage; Engineering; Artificial intelligence","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":[0.0001685771,0.0001484845,0.000200673,0.0001946696,0.00001592835,0.00001164287,0.0001062023,0.00009010565,0.00004733781],"category_scores_gemma":[0.000007538112,0.0001485635,0.00003370512,0.0003701237,0.00001426427,0.000328381,0.000008913395,0.0001170698,0.00005649989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007513881,"about_ca_system_score_gemma":0.00002985425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000361868,"about_ca_topic_score_gemma":0.00004596036,"domain_scores_codex":[0.9990802,0.00001553597,0.0003328833,0.0001445492,0.0001798334,0.0002469361],"domain_scores_gemma":[0.9996667,0.00003732895,0.00002848189,0.0001669981,0.000049559,0.00005093778],"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":[0.000001279216,0.00002915073,0.0007977716,0.00005666069,0.00001516913,0.000004184389,0.0004863109,0.9848478,0.008499347,0.0007928536,0.0005356511,0.003933792],"study_design_scores_gemma":[0.0006359938,0.00002545858,0.002763484,0.00003417392,0.000005965875,0.000004577171,0.00005483386,0.9687844,0.02667909,0.000753598,0.00005567298,0.0002027344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4195752,0.00005565149,0.5560839,0.000003933336,0.0001640211,0.0001601957,0.000002942665,0.00009629889,0.02385785],"genre_scores_gemma":[0.9912067,0.00002242929,0.008537289,0.00002572701,0.00001171208,0.00001470257,0.000004985172,0.00003416729,0.0001422618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5716315,"threshold_uncertainty_score":0.6058244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479486823742766,"score_gpt":0.2196119043643732,"score_spread":0.1948170361269456,"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."}}