{"id":"W4401806864","doi":"10.1109/mssc.2024.3419488","title":"A Brief History of SEDRA/SMITH: Microelectronic Circuits [Society News]","year":2024,"lang":"en","type":"article","venue":"IEEE Solid-State Circuits Magazine","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microelectronics; Electronic circuit; Computer science; Engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002022476,0.0004312978,0.0005081423,0.0001624663,0.00005552642,0.00003924997,0.0003119821,0.0001295381,0.00008426116],"category_scores_gemma":[0.00002152819,0.0004777064,0.0003335794,0.0005067243,0.0001285312,0.0003672517,0.00003817839,0.000679839,0.000193695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008732596,"about_ca_system_score_gemma":0.0002768541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005616636,"about_ca_topic_score_gemma":0.0000109848,"domain_scores_codex":[0.9977133,0.00004022851,0.0006072331,0.0005417988,0.0002707455,0.0008266631],"domain_scores_gemma":[0.9990627,0.0001552085,0.00008117256,0.0004338311,0.00008807254,0.0001790722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003949183,0.00003171881,0.00001367421,0.001148204,0.0001674372,0.0001099062,0.001625903,0.03200474,0.8518082,0.0000714386,0.04292627,0.07008854],"study_design_scores_gemma":[0.001405839,0.0003145152,0.0003713599,0.0009673966,0.0001868253,0.0003754151,0.00006344722,0.06648151,0.3621629,0.001258201,0.5647798,0.001632749],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7981042,0.06548429,0.08953381,0.0001438869,0.01048567,0.0009674977,0.0001518479,0.003936603,0.03119226],"genre_scores_gemma":[0.9873977,0.001053876,0.00007937753,0.0002015056,0.00039737,0.00001656913,0.00001630077,0.0001717434,0.01066556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5218535,"threshold_uncertainty_score":0.9997675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017809346649174,"score_gpt":0.2390244110181682,"score_spread":0.2212150643689942,"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."}}