{"id":"W1580993858","doi":"10.1109/asic.1993.410775","title":"CircuitSim93: A circuit simulator benchmarking methodology case study","year":2002,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Benchmarking; Benchmark (surveying); Suite; Computer science; Electronic circuit; Simulation; Computer engineering; Software engineering; Engineering; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004173267,0.0008051129,0.0004537347,0.00126332,0.0005283414,0.0009994203,0.002278759,0.001254001,0.004001342],"category_scores_gemma":[0.009375697,0.0003154522,0.000448803,0.001703217,0.000436128,0.001339504,0.0006648397,0.0008675635,0.000697912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167506,"about_ca_system_score_gemma":0.001290908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003580066,"about_ca_topic_score_gemma":0.004504613,"domain_scores_codex":[0.996119,0.001667825,0.0002112862,0.0002549386,0.001551809,0.0001951865],"domain_scores_gemma":[0.9961473,0.001538532,0.0002135929,0.0007950916,0.001194829,0.0001105791],"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":[0.0004699884,0.001025525,0.007586353,0.001270533,0.0002333662,0.001389851,0.0007794253,0.4596806,0.03408048,0.05160341,0.04682856,0.3950519],"study_design_scores_gemma":[0.0002071625,0.001174607,0.004115838,0.0001821902,0.0000908705,0.001074342,0.0003105795,0.8143857,0.08060332,0.0112799,0.0865019,0.00007357696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2624485,0.00119186,0.6786466,0.001735019,0.0002586274,0.001825366,0.003068114,0.01094068,0.03988533],"genre_scores_gemma":[0.5497467,0.0006212267,0.4327432,0.0003835234,0.00004983209,0.001069172,0.003702814,0.001466422,0.0102172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004173267,"threshold_uncertainty_score":0.02207059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125328718732647,"score_gpt":0.268473830968854,"score_spread":0.143145112236207,"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."}}