{"id":"W18654702","doi":"10.32920/ryerson.14644764.v1","title":"Noise analysis of translinear circuits","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Companding; Intermodulation; Noise (video); Electronic circuit; Electronic engineering; SIGNAL (programming language); Noise power; Computer science; Power (physics); Electrical engineering; Engineering; Telecommunications; Physics; CMOS; 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":[0.0002604547,0.0005777196,0.000370792,0.0006063735,0.0002143698,0.0007809057,0.0004302475,0.0004293038,0.002615272],"category_scores_gemma":[0.001294359,0.0001631959,0.0003653407,0.0003877418,0.0004468841,0.000851917,0.0003316932,0.0004804159,0.000545979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006284646,"about_ca_system_score_gemma":0.0002353103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007044245,"about_ca_topic_score_gemma":0.0004998773,"domain_scores_codex":[0.9995075,0.00005362339,0.00001526944,0.0001026697,0.0002938363,0.0000270249],"domain_scores_gemma":[0.9995677,0.000179945,0.00006660212,0.00004005699,0.0001380728,0.000007626543],"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":[0.0003129361,0.00005387382,0.001227351,0.0003878412,0.00007668334,0.0004770249,0.0002761511,0.4078036,0.3240643,0.09614151,0.001789415,0.1673893],"study_design_scores_gemma":[0.000004753324,0.0001155803,0.0004277577,0.00001575734,0.00001673173,0.0002178828,0.00002625011,0.9447946,0.03968759,0.01122867,0.003448535,0.00001595509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04359702,0.0006424522,0.9465731,0.00008696752,0.00003798942,0.00002626088,0.00006792274,0.0003257715,0.008642408],"genre_scores_gemma":[0.8763619,0.001768312,0.1020858,0.0001461431,0.000111738,0.00007235023,0.0002233314,0.0002276333,0.01900271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002615272,"threshold_uncertainty_score":0.008748949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04505536452357169,"score_gpt":0.2622480144032945,"score_spread":0.2171926498797228,"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."}}