{"id":"W2083553720","doi":"10.1109/tcad.2010.2049154","title":"Optimization of Imprecise Circuits Represented by Taylor Series and Real-Valued Polynomials","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Taylor series; Series (stratigraphy); Arbitrary-precision arithmetic; Algorithm; Floating point; Interval arithmetic; Function (biology); Implementation; Representation (politics); Mathematics; Fixed-point arithmetic; Point (geometry); Double-precision floating-point format; Selection (genetic algorithm); Upper and lower bounds; Branch and bound; Mathematical optimization; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001352773,0.0008323456,0.0007849535,0.0005103085,0.0002480829,0.001427296,0.0009086386,0.000695902,0.001539936],"category_scores_gemma":[0.004323678,0.0004641415,0.0005703619,0.000900038,0.0009153272,0.001452716,0.0005244231,0.001032672,0.0002641759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083075,"about_ca_system_score_gemma":0.0006922062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009292118,"about_ca_topic_score_gemma":0.001030478,"domain_scores_codex":[0.9990509,0.0002382124,0.00004811461,0.0001368656,0.0004406783,0.0000852244],"domain_scores_gemma":[0.9988689,0.0007271624,0.0001684746,0.0001117072,0.000110612,0.00001310489],"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":[0.00004774833,0.000009710055,0.0001197423,0.00006725538,0.00001524798,0.0000431608,0.00004547234,0.9311335,0.004917512,0.03923915,0.0002221566,0.02413934],"study_design_scores_gemma":[0.00001044141,0.00004189825,0.00004274882,0.0000120835,0.00001135355,0.00002202614,0.00001325471,0.9781554,0.004179967,0.01669439,0.0008090001,0.000007535979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03112758,0.0002453009,0.9648744,0.00009670797,0.00001831117,0.00001824789,0.00003672659,0.0001777175,0.003404939],"genre_scores_gemma":[0.7163448,0.0004604646,0.2802679,0.00005525045,0.00002460186,0.00009972092,0.00007201944,0.000128239,0.002546966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001539936,"threshold_uncertainty_score":0.007858276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620939205898265,"score_gpt":0.2593621603881209,"score_spread":0.2331527683291383,"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."}}