{"id":"W2146047176","doi":"10.1109/tvlsi.2004.840780","title":"Design of wireless on-wafer submicron characterization system","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Very-large-scale integration; Electronic engineering; Wafer; Wireless; Wafer-scale integration; Computer science; Wafer testing; Engineering; Electrical engineering; Telecommunications","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":[0.0007131887,0.0003213574,0.0004303081,0.0004176423,0.000352323,0.0002287322,0.0005329191,0.0002064004,0.00001470281],"category_scores_gemma":[0.000007153116,0.000293803,0.0001620543,0.0006493615,0.00003777928,0.0009399045,0.000002807091,0.0003210682,0.0001968975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003317088,"about_ca_system_score_gemma":0.0001061857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004920373,"about_ca_topic_score_gemma":0.00003033938,"domain_scores_codex":[0.9972646,0.0003875568,0.000822822,0.0005693969,0.0005545568,0.000401035],"domain_scores_gemma":[0.9983609,0.0001920892,0.0003556772,0.0006523625,0.0003132704,0.0001256531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004503851,0.001455261,0.0001070457,0.0004535076,0.0001658731,0.00001942327,0.004701653,0.2132852,0.5789865,0.007728061,0.0002627063,0.1927898],"study_design_scores_gemma":[0.0005442345,0.0002158933,0.0001035111,0.0007847256,0.00002671398,0.00005273897,0.0003834072,0.8418927,0.1554045,0.000003790587,0.0002575275,0.000330288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03850576,0.00002694994,0.958187,0.000112248,0.001743347,0.0005894067,0.00006749044,0.0004207448,0.0003470565],"genre_scores_gemma":[0.9982468,0.00001414755,0.0006783514,0.00009249056,0.0001963548,0.000112628,0.00002190686,0.00003266309,0.000604633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9597411,"threshold_uncertainty_score":0.9999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896767827881926,"score_gpt":0.2203914104082505,"score_spread":0.2014237321294313,"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."}}