{"id":"W2031432351","doi":"10.5555/2755753.2755770","title":"A methodology for automated design of embedded bit-flips detectors in post-silicon validation","year":2015,"lang":"en","type":"article","venue":"Design, Automation, and Test in Europe","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Detector; Bit (key); Latency (audio); Embedded system; Domain (mathematical analysis); Computer hardware; Electronic engineering; Computer engineering; Real-time computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003611096,0.001321846,0.0008685663,0.001383716,0.0006493234,0.001522657,0.002450715,0.00119057,0.002613389],"category_scores_gemma":[0.008730859,0.0007273947,0.001654713,0.0006331405,0.001525356,0.001544633,0.001521217,0.001375641,0.0009851026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007024277,"about_ca_system_score_gemma":0.002189545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009363783,"about_ca_topic_score_gemma":0.001444842,"domain_scores_codex":[0.9956076,0.001551378,0.0003967388,0.0006374662,0.001447179,0.0003597081],"domain_scores_gemma":[0.9921162,0.00352274,0.001051584,0.001657145,0.0015256,0.0001268157],"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":[0.0004085377,0.0005903232,0.006369347,0.001286369,0.0002876523,0.0008988323,0.0007654715,0.2145976,0.1913709,0.07949305,0.003596283,0.5003355],"study_design_scores_gemma":[0.0001303722,0.0008920561,0.001184984,0.000173457,0.0001908707,0.0006547247,0.0001273811,0.7799345,0.1599162,0.04326792,0.01344538,0.00008213516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004483747,0.00004762005,0.9933112,0.00003227584,0.00001203209,0.0001887122,0.00004088387,0.001549656,0.0003340535],"genre_scores_gemma":[0.1003787,0.00007425687,0.8979146,0.00008079947,0.00001517686,0.0003497416,0.0001890001,0.0002571103,0.000740557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003611096,"threshold_uncertainty_score":0.01909757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1380396959732063,"score_gpt":0.315442635163041,"score_spread":0.1774029391898347,"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."}}