{"id":"W4213442195","doi":"10.3390/electronics11050692","title":"Versatile Field-Programmable Analog Array Realizations of Power-Law Filters","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transfer function; Power (physics); Integer (computer science); Field (mathematics); Filter (signal processing); Electronic engineering; Field-programmable analog array; Function (biology); Computer science; Engineering; Law; Mathematics; Electrical engineering; Physics; Analog multiplier; Analog signal; Digital signal processing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001380254,0.00009809976,0.0001396267,0.0000626621,0.000141651,0.00001122661,0.0001745613,0.00003938096,0.0005302151],"category_scores_gemma":[0.00001125027,0.0001167928,0.00007147628,0.0003073406,0.00001991788,0.00005403123,0.00001521412,0.0002452344,0.000007778101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351158,"about_ca_system_score_gemma":0.00005825305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004475725,"about_ca_topic_score_gemma":0.00007065317,"domain_scores_codex":[0.9991894,0.00003670468,0.0001692907,0.0001192467,0.0001624943,0.000322911],"domain_scores_gemma":[0.9996414,0.00005204351,0.00003309063,0.0002015815,0.00002456698,0.00004732336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003470759,0.0001313351,0.0002025117,0.00007518491,0.0003353725,0.00001723028,0.00138663,0.1790057,0.06930445,0.6876111,0.05176935,0.01012646],"study_design_scores_gemma":[0.0006592645,0.00125884,0.00003570702,0.0000125473,0.00009274155,0.00002638477,0.0005055876,0.003448982,0.07591498,0.02484896,0.8926679,0.000528111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03221177,0.01589814,0.7759345,0.00008881051,0.0007856781,0.0006298267,0.0001207012,0.0008820738,0.1734485],"genre_scores_gemma":[0.9992699,0.0001037671,0.00006654834,0.0001259579,0.00001786154,0.00003481572,0.00006015482,0.00002536878,0.0002956473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9670581,"threshold_uncertainty_score":0.5805483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006505926080455401,"score_gpt":0.1966072645040768,"score_spread":0.1901013384236215,"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."}}