{"id":"W4283780494","doi":"10.1109/ets54262.2022.9810415","title":"Prediction of Thermally Accelerated Aging Process at 28nm","year":2022,"lang":"en","type":"article","venue":"","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Process (computing); Computer science; Materials science; Reliability engineering; Process engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005936577,0.00005088345,0.00007132593,0.00003023392,0.00004632854,0.000009395947,0.00007238476,0.00001271976,0.003551365],"category_scores_gemma":[0.000001571075,0.00004668142,0.00001338347,0.00008768249,0.000004880685,0.00007823609,0.00003429889,0.00003474098,0.000005306219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002953567,"about_ca_system_score_gemma":0.000005918561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001579453,"about_ca_topic_score_gemma":0.000002536588,"domain_scores_codex":[0.9996355,0.00000902034,0.0001184784,0.00006336736,0.00009469162,0.00007898032],"domain_scores_gemma":[0.9998749,0.000006557761,0.00001872384,0.00006829427,0.00001684365,0.0000146483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005063419,0.000007494558,0.001974527,0.00007095015,0.00001593237,7.045856e-7,0.0004015344,0.02189449,0.97493,0.00002642032,0.000537677,0.0001351918],"study_design_scores_gemma":[0.0002489669,0.00003258166,0.006218394,0.00000829256,0.00001000104,0.000009441309,0.0005316553,0.02032784,0.9696889,0.00005265199,0.002766076,0.0001052146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903776,0.0001395177,0.00001499216,0.000008464363,0.0003507961,0.00005960084,0.00002425928,0.0002448938,0.008779861],"genre_scores_gemma":[0.9996746,0.000007049915,0.00002175349,0.00002661925,0.0000345393,0.00001984525,0.00001918857,0.00001353131,0.0001828985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009296959,"threshold_uncertainty_score":0.9973595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159608968278031,"score_gpt":0.2250388296880582,"score_spread":0.1934427400052779,"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."}}