{"id":"W1872044473","doi":"10.1109/dftvs.1995.476951","title":"Analyzing and improving delay defect tolerance in pipelined combinational circuits","year":2002,"lang":"en","type":"article","venue":"","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Combinational logic; Computer science; Logic gate; Identification (biology); Delay calculation; Sequential logic; Electronic circuit; Algorithm; Electronic engineering; Propagation delay; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002928101,0.0004639642,0.0002812122,0.0004207126,0.0001679177,0.0002863046,0.0005154115,0.00035276,0.0005250068],"category_scores_gemma":[0.001754111,0.0002148765,0.000251542,0.0004657733,0.0002998959,0.0005726934,0.0002003251,0.0002110144,0.00007355191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000402219,"about_ca_system_score_gemma":0.0003315238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100697,"about_ca_topic_score_gemma":0.001028476,"domain_scores_codex":[0.9997709,0.00003227898,0.000009839023,0.00004361024,0.0001098325,0.0000334562],"domain_scores_gemma":[0.9994113,0.0002581401,0.0001584898,0.00008059203,0.00007820736,0.00001334035],"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":[0.0002765409,0.00005708965,0.005628872,0.0001911479,0.0000602404,0.0002425959,0.0001225225,0.5647311,0.2767456,0.004025112,0.0002772879,0.147642],"study_design_scores_gemma":[0.00002032651,0.0003063059,0.003251336,0.000007434203,0.00007595791,0.000281873,0.0000303477,0.845946,0.1453027,0.003502438,0.00125736,0.00001776486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6434613,0.0006584707,0.3541491,0.00009320967,0.00001645779,0.00002191464,0.00004580402,0.000709416,0.0008443288],"genre_scores_gemma":[0.9441891,0.0002450156,0.05479968,0.00001530248,0.000009602781,0.000009935015,0.00005549605,0.00003917077,0.0006368481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001100697,"threshold_uncertainty_score":0.002918243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005854959514799625,"score_gpt":0.190679418306638,"score_spread":0.1848244587918383,"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."}}