{"id":"W2083488767","doi":"10.1109/tc.2014.2315633","title":"Accurate and Efficient Estimation of Logic Circuits Reliability Bounds","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Computers","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"United Arab Emirates University","keywords":"Reliability (semiconductor); Computer science; Heuristic; Electronic circuit; Algorithm; Logic gate; Range (aeronautics); Circuit reliability; Criticality; Computer engineering; Reliability engineering; Combinational logic; Power (physics); Engineering; Artificial intelligence; Electrical engineering","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":[0.0001122701,0.0001111611,0.0001373932,0.00006406869,0.0000571452,0.00001770878,0.00007701337,0.00004418707,0.00001611655],"category_scores_gemma":[0.000002095355,0.0001116734,0.00003624217,0.0001119937,0.00005057912,0.00007721176,4.833763e-7,0.00009924394,0.000008094194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000434857,"about_ca_system_score_gemma":0.000006128678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003152122,"about_ca_topic_score_gemma":8.949637e-7,"domain_scores_codex":[0.999393,0.00002469922,0.0001949296,0.00015669,0.0001064434,0.0001242614],"domain_scores_gemma":[0.9995963,0.0001118222,0.0000321658,0.0001895557,0.00002410784,0.00004606909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001712448,0.00002778158,0.000002992592,0.0000518911,0.00001278148,1.576614e-7,0.0001065646,0.9117968,0.001372411,0.0001064659,0.00001494531,0.0865055],"study_design_scores_gemma":[0.0002452997,0.00007108532,0.0001524775,0.00004191083,0.00001712604,0.000003135489,0.00001366395,0.9903885,0.008579115,0.0002477028,0.0001212978,0.0001186639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1906278,0.00002266854,0.8081829,0.000008779253,0.0007329801,0.0000986965,0.000005490211,0.00008949129,0.00023119],"genre_scores_gemma":[0.9974651,0.0000181545,0.002430433,0.00004285137,0.00001348592,0.000006651275,0.000001109531,0.00001261766,0.000009557589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8068374,"threshold_uncertainty_score":0.455391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555136879958166,"score_gpt":0.2360664803390563,"score_spread":0.2205151115394746,"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."}}