{"id":"W2099432024","doi":"10.1109/tcad.2005.859507","title":"Dynamic-range estimation","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Datapath; Nonlinear system; Computer science; Dynamic range; Algorithm; Polynomial; Dynamic demand; Range (aeronautics); Polynomial chaos; Mathematics; Mathematical optimization; Power (physics); Parallel computing; Monte Carlo method","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":[0.0004584988,0.000846575,0.0007954191,0.001568996,0.0004082094,0.00102532,0.001067235,0.0008647066,0.00362035],"category_scores_gemma":[0.004454669,0.0003338165,0.0004625187,0.001315686,0.000384871,0.002024556,0.0009846906,0.0008915552,0.002767414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004801993,"about_ca_system_score_gemma":0.0004347557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008218372,"about_ca_topic_score_gemma":0.0007727491,"domain_scores_codex":[0.9990529,0.0001274291,0.00004161797,0.0002945672,0.000394804,0.00008874665],"domain_scores_gemma":[0.9988251,0.0004290343,0.000156808,0.0002132699,0.0003441347,0.00003162359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003788449,0.0001117482,0.004465806,0.0004204616,0.00008184443,0.0002710658,0.0001889052,0.1095434,0.1629901,0.02709424,0.005907953,0.6885456],"study_design_scores_gemma":[0.00001879558,0.0001234406,0.004267121,0.00007311669,0.00005957909,0.001271783,0.000093954,0.8088058,0.1388952,0.01805135,0.02824161,0.0000982148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009377903,0.0006824717,0.9825556,0.00008436241,0.00005169454,0.00003406136,0.0001416342,0.001480851,0.005591336],"genre_scores_gemma":[0.629467,0.002088816,0.3572012,0.0002599567,0.0001689546,0.0001645099,0.0009984634,0.0005505615,0.009100581],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00362035,"threshold_uncertainty_score":0.01211131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153834811345953,"score_gpt":0.202546854744286,"score_spread":0.1871633736096907,"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."}}