{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001713824,0.00009747439,0.0001039516,0.0001532204,0.00009131602,0.00007834819,0.000354339,0.00002905757,0.00008279371],"category_scores_gemma":[0.00003174504,0.00007835498,0.00004798543,0.0002768464,0.00002993514,0.0001819502,0.00001965926,0.00009510412,0.000009741329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001938472,"about_ca_system_score_gemma":0.00002494211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001063641,"about_ca_topic_score_gemma":0.0001698142,"domain_scores_codex":[0.9991065,0.00008240867,0.0002165764,0.0002493803,0.0002151534,0.0001300344],"domain_scores_gemma":[0.9994406,0.00004176741,0.00008361191,0.0002754575,0.00009334363,0.0000652282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.648171e-8,0.00008815432,0.0003891742,0.000008019361,0.000002268524,0.000001070819,0.000608738,0.009349492,0.1058888,0.002503041,0.0001578478,0.8810033],"study_design_scores_gemma":[0.0001094139,0.0001170455,0.0005477738,0.00001462688,0.000003154838,0.000001828187,0.000009891324,0.9284642,0.06974095,0.0008708352,0.00002425532,0.00009605946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1296555,0.0001265843,0.8691073,0.0001460462,0.00009997436,0.00006160311,5.721942e-7,0.0001010029,0.000701425],"genre_scores_gemma":[0.9828274,0.000001414086,0.01684892,0.000159639,0.0001321185,0.000004495541,0.000009223174,0.000003959646,0.00001282907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9191146,"threshold_uncertainty_score":0.3195224,"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."}}