{"id":"W77618047","doi":"10.1007/0-306-47673-8_31","title":"Top-Down Design Methodology for Analog Circuits Using Matlab and Simulink","year":2006,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"MATLAB; Computer science; Rule of thumb; Design methods; Control engineering; Process (computing); Electronic engineering; Engineering; Algorithm; Mechanical 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":[0.0005366855,0.001442968,0.0006267181,0.0008000676,0.000434348,0.001313992,0.0012392,0.0006763967,0.01749368],"category_scores_gemma":[0.001117686,0.0006239054,0.0009965084,0.0004430074,0.0003329548,0.0006987406,0.0005400883,0.001798892,0.009422185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000459561,"about_ca_system_score_gemma":0.0007345102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159422,"about_ca_topic_score_gemma":0.001524236,"domain_scores_codex":[0.9993667,0.0001106071,0.00005415304,0.00008376116,0.0003602179,0.00002444335],"domain_scores_gemma":[0.9995976,0.0001286201,0.00002645978,0.00005096599,0.0001867104,0.000009645851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001086844,0.0001148606,0.0002525333,0.00228059,0.0001598735,0.0004547545,0.0005147776,0.159605,0.09495107,0.06437607,0.02292709,0.6542547],"study_design_scores_gemma":[0.00009044218,0.0004716087,0.0002969076,0.0004141057,0.0001550721,0.001276899,0.00008334412,0.4430976,0.07729957,0.0226175,0.454114,0.00008290383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002804199,0.0001994471,0.9925668,0.00003399087,0.00007621603,0.0001001335,0.00004861566,0.001640767,0.005053622],"genre_scores_gemma":[0.02400015,0.001140874,0.9520563,0.0001580624,0.00006336082,0.0007409485,0.0002739066,0.00064904,0.02091746],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01749368,"threshold_uncertainty_score":0.05852222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052023231632259,"score_gpt":0.2756184733151261,"score_spread":0.1704161501519002,"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."}}