{"id":"W2104554794","doi":"10.1109/test.1996.557078","title":"An integration of memory-based analog signal generation into current DFT architectures","year":2002,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Mixed-signal integrated circuit; Overhead (engineering); Encoding (memory); Electronic engineering; Computer hardware; Boundary scan; Analogue electronics; Analog signal; Analog multiplier; SIGNAL (programming language); Integrated circuit; Aperiodic graph; Bitstream; Built-in self-test; Embedded system; Electronic circuit; Digital signal processing; Engineering; Electrical engineering; Decoding methods; Algorithm","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":[0.0003152238,0.0002654949,0.0001421552,0.0005987472,0.00017479,0.0004914035,0.0007665996,0.0002956559,0.002306768],"category_scores_gemma":[0.0009996183,0.0001306761,0.0001556822,0.000293555,0.0004502338,0.001085186,0.0002821347,0.0003590516,0.000440986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050015,"about_ca_system_score_gemma":0.0002151163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003395382,"about_ca_topic_score_gemma":0.0008192382,"domain_scores_codex":[0.9997723,0.00004343712,0.00001533648,0.00002705532,0.0001222749,0.00001956666],"domain_scores_gemma":[0.999518,0.0001984386,0.00003674672,0.0001157916,0.0001177404,0.00001333327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002445316,0.0001551066,0.001339595,0.0001996928,0.00002435821,0.0002008123,0.0001403386,0.00741819,0.2196152,0.09748266,0.0008329161,0.6723467],"study_design_scores_gemma":[0.0001294253,0.003666998,0.003338297,0.000133497,0.0001593629,0.002769425,0.0001313688,0.2246531,0.6284136,0.06172303,0.07479832,0.00008359191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05465058,0.001100566,0.9281815,0.0002865734,0.0001194945,0.00009901945,0.00003504856,0.001166138,0.01436107],"genre_scores_gemma":[0.6343685,0.0007291866,0.3577814,0.0002293397,0.0001199348,0.00007477417,0.00007537291,0.00007656542,0.006544908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002306768,"threshold_uncertainty_score":0.007716894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04898350996980444,"score_gpt":0.2752475536855735,"score_spread":0.226264043715769,"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."}}