{"id":"W3193346442","doi":"10.1109/isvlsi51109.2021.00044","title":"Dynamic Fault Tree Models for FPGA Fault Tolerance and Reliability","year":2021,"lang":"en","type":"article","venue":"","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control reconfiguration; Reconfigurability; Overhead (engineering); Field-programmable gate array; Reliability (semiconductor); Fault tolerance; Computer science; Embedded system; Fault tree analysis; Flexibility (engineering); Reliability engineering; Engineering; Distributed computing","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":[0.0001068003,0.0001087764,0.0001407869,0.00002089924,0.00003811034,0.00002692892,0.00006223608,0.00007714561,0.00001592069],"category_scores_gemma":[0.00006484359,0.0001119562,0.00004169106,0.0001014677,0.00001606106,0.0001589843,0.00001170006,0.000102201,0.000003905918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182317,"about_ca_system_score_gemma":0.00002608531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004453574,"about_ca_topic_score_gemma":0.0001075296,"domain_scores_codex":[0.999331,0.00001465833,0.0001460092,0.0002020147,0.0000813479,0.0002249728],"domain_scores_gemma":[0.9994894,0.0001473748,0.00001160201,0.0002464615,0.00005847435,0.00004667819],"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":[0.000003432986,0.000009750794,0.000006901369,0.00007940853,0.000009955805,6.444958e-7,0.000057495,0.9806772,0.0009166907,0.001268301,0.0005125243,0.0164577],"study_design_scores_gemma":[0.0003248508,0.00002003113,0.0001976381,0.000006396475,0.000008423865,0.00000418888,0.00001315517,0.9860738,0.004023276,0.006690195,0.002504698,0.000133325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4598671,0.001315781,0.5296587,0.0002782268,0.0002676661,0.0003174575,0.00001918475,0.0003876315,0.007888147],"genre_scores_gemma":[0.982017,0.000123306,0.01680232,0.0000829893,0.000021657,0.00005732608,0.00001449925,0.00002748083,0.0008534264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5221499,"threshold_uncertainty_score":0.4565443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005038622278377665,"score_gpt":0.2222791867585895,"score_spread":0.2172405644802118,"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."}}