{"id":"W4404057431","doi":"10.1109/socc62300.2024.10737768","title":"Hardened-TC: A Low-cost Reliability Solution for CNNs Run by Modern GPUs","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Reliability (semiconductor); Computer science; Parallel computing; Physics","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":[0.0001678163,0.0001322846,0.0001143902,0.0000384542,0.0001723461,0.000167215,0.0005565798,0.00006044002,0.00001260992],"category_scores_gemma":[0.00003156126,0.0001175922,0.00009316402,0.0003670232,0.00004222113,0.0005274311,0.0001767914,0.0001181027,0.0001236493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001091241,"about_ca_system_score_gemma":0.00004818574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000108844,"about_ca_topic_score_gemma":0.00001581919,"domain_scores_codex":[0.9986271,0.00001956693,0.0002145983,0.0006520416,0.0001649013,0.0003217997],"domain_scores_gemma":[0.9988933,0.0002195276,0.00003098549,0.0006867033,0.00007247706,0.00009696055],"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":[0.00001939812,0.0002027804,0.00003924804,0.0001197002,0.00002494896,0.000003267555,0.000332481,0.01202624,0.02231695,0.1298368,0.2790609,0.5560173],"study_design_scores_gemma":[0.00009333716,0.00002033386,0.00002228683,0.00001154216,0.000004876539,0.000003586147,0.000001383275,0.8361793,0.00471257,0.06625184,0.09256116,0.0001378333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001077991,0.0003041198,0.9893838,0.006316208,0.0003195105,0.0007245068,0.00002734265,0.000800486,0.00104607],"genre_scores_gemma":[0.7272764,0.00006538598,0.2631712,0.0009213274,0.0002003157,0.001005568,0.00004219114,0.00003193296,0.007285624],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.824153,"threshold_uncertainty_score":0.4795271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756239912481468,"score_gpt":0.2796168189760074,"score_spread":0.2620544198511927,"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."}}