{"id":"W1947113194","doi":"10.1109/vts.2005.76","title":"SRAM Retention Testing: Zero Incremental Time Integration with March Algorithms","year":2005,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada); University of British Columbia","funders":"CMC Microsystems","keywords":"Computer science; Static random-access memory; Data retention; Session (web analytics); Embedded system; Algorithm; Computer hardware; Parallel computing; Real-time computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008332724,0.0006304745,0.0004995248,0.0007616564,0.0001912901,0.0007679785,0.001613677,0.0005371794,0.001479999],"category_scores_gemma":[0.004948265,0.0002436323,0.0004277069,0.0005695923,0.0005214108,0.001127961,0.0006599384,0.0007157503,0.0002891088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006178419,"about_ca_system_score_gemma":0.0007130319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451266,"about_ca_topic_score_gemma":0.001443066,"domain_scores_codex":[0.9990835,0.0002583544,0.00004770286,0.0001182359,0.0004230351,0.00006907445],"domain_scores_gemma":[0.9978058,0.001126806,0.0002840627,0.0003615038,0.0003490181,0.00007285301],"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":[0.0008632404,0.0002595902,0.004267709,0.0001368273,0.00008890726,0.0001728252,0.0001344274,0.3371012,0.04659212,0.02786017,0.001252073,0.581271],"study_design_scores_gemma":[0.00002902273,0.0002329385,0.0002233581,0.000005410458,0.00001523801,0.00009622715,0.000006999062,0.9791084,0.01673876,0.002611496,0.0009245201,0.000007656296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0611778,0.000231924,0.9341546,0.0001145415,0.00002449049,0.00007851956,0.0000239891,0.00222754,0.001966724],"genre_scores_gemma":[0.4963799,0.000106691,0.5021396,0.00006539273,0.00001805447,0.00008079701,0.00006992011,0.0001083196,0.001031308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001613677,"threshold_uncertainty_score":0.004951119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457742948732878,"score_gpt":0.2411948686442686,"score_spread":0.2066174391569399,"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."}}