{"id":"W2124467884","doi":"10.1109/cicc.1990.124665","title":"ROOMMS-a relaxation-based, object-oriented, mixed-mode simulator","year":2002,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Simulation; Computer architecture simulator; Relaxation (psychology); Iterated function; Electronic circuit simulation; Code (set theory); Mode (computer interface); Object (grammar); Programming language; Electronic circuit; Engineering; Artificial intelligence; Operating system; 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":[0.0003339785,0.0002871102,0.0003068993,0.0002884469,0.0001625052,0.0005734655,0.001479603,0.0005145157,0.008511641],"category_scores_gemma":[0.0007478519,0.0002967658,0.0004140006,0.0002650142,0.0001568791,0.0005817769,0.0003881059,0.0006741966,0.001605042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224605,"about_ca_system_score_gemma":0.000736979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001084473,"about_ca_topic_score_gemma":0.001666604,"domain_scores_codex":[0.9998761,0.00002365618,0.000006343411,0.00001156325,0.00006921303,0.000013076],"domain_scores_gemma":[0.9997872,0.00008937025,0.00002291587,0.00004171948,0.00004150589,0.00001742099],"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":[0.0003159544,0.0000945562,0.001315664,0.0003462672,0.00008020711,0.0001490557,0.0001641329,0.7573166,0.05978046,0.08798236,0.01443916,0.07801551],"study_design_scores_gemma":[0.00004058288,0.00004249578,0.0001058603,0.00000711958,0.00001085906,0.00003230203,0.000005113419,0.9662755,0.008767349,0.003088848,0.02161495,0.000009015798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01570395,0.0001123701,0.961599,0.00008458471,0.00005068381,0.0001065712,0.0008999253,0.007861034,0.01358187],"genre_scores_gemma":[0.3055605,0.0003869921,0.665522,0.0001332542,0.00003922941,0.000656959,0.002381368,0.001519014,0.02380067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008511641,"threshold_uncertainty_score":0.02847427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00797265000050924,"score_gpt":0.1983600579849387,"score_spread":0.1903874079844295,"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."}}