{"id":"W2140018907","doi":"10.1109/vtest.1992.232715","title":"Accelerated path delay fault simulation","year":2003,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Robustness (evolution); Path (computing); Fault Simulator; Benchmark (surveying); Longest path problem; Process (computing); Fault (geology); Event (particle physics); Shortest path problem; Real-time computing; Algorithm; Parallel computing; Stuck-at fault; Fault detection and isolation; Theoretical computer science; Artificial intelligence; Computer network","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":[0.0001361754,0.00006004396,0.00005534879,0.00003383,0.0000916867,0.0001127126,0.0001953476,0.00002824903,0.00005092334],"category_scores_gemma":[0.000102745,0.00005038549,0.00002124918,0.0003057081,0.000005685622,0.000324113,0.00002013626,0.00005018419,0.00010094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000123988,"about_ca_system_score_gemma":0.00003013692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001095005,"about_ca_topic_score_gemma":0.00000169259,"domain_scores_codex":[0.9994208,0.00003488252,0.0001077686,0.0001748752,0.000108443,0.0001532387],"domain_scores_gemma":[0.9995973,0.00007314689,0.00002853361,0.0001853601,0.00006836567,0.00004734157],"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":[1.313024e-7,0.0001259113,0.01309256,0.00001064055,0.00001847706,0.00006668687,0.0007348614,0.1548512,0.004711284,0.3278804,0.000810146,0.4976977],"study_design_scores_gemma":[0.0001444466,0.00001964383,0.001145568,0.000005085301,0.000001341307,0.000009582313,0.00001079263,0.9917996,0.001326742,0.002409439,0.003003883,0.0001238928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03389819,0.0000183416,0.917356,0.00003743912,0.00008433744,0.00003848434,1.110841e-7,0.0002329836,0.04833413],"genre_scores_gemma":[0.9937624,7.03954e-7,0.005347806,0.0003638724,0.00001528852,0.000001290202,7.906783e-7,0.000003200376,0.0005046249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9598643,"threshold_uncertainty_score":0.2054661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04719067741917359,"score_gpt":0.2776899733216874,"score_spread":0.2304992959025138,"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."}}