{"id":"W3217233231","doi":"10.1109/tdmr.2021.3131345","title":"CMOS Reliability From Past to Future: A Survey of Requirements, Trends, and Prediction Methods","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Device and Materials Reliability","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; Product (mathematics); Government (linguistics); Engineering; Risk analysis (engineering); Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004189012,0.0008786417,0.0009673735,0.002868034,0.0004500088,0.002131082,0.001557632,0.0009977501,0.002185812],"category_scores_gemma":[0.009935415,0.0006978319,0.0007247529,0.003207525,0.0006975151,0.00426064,0.0006905122,0.001496437,0.0009956331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376717,"about_ca_system_score_gemma":0.001668552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003397273,"about_ca_topic_score_gemma":0.003102297,"domain_scores_codex":[0.9982423,0.00033661,0.0002029823,0.0003727907,0.0007772794,0.00006797157],"domain_scores_gemma":[0.9925653,0.004594747,0.0004345952,0.0003569149,0.001942679,0.0001058389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001228459,0.00007090042,0.006264508,0.006485096,0.00008025586,0.0001039787,0.0003062213,0.01722726,0.00282274,0.02742387,0.01573341,0.9233589],"study_design_scores_gemma":[0.00003017148,0.0009050538,0.01574402,0.01014976,0.0004936075,0.002001167,0.0008220702,0.07890806,0.01086958,0.0702151,0.8095504,0.0003110704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009153262,0.8751819,0.09688573,0.005123216,0.000507305,0.00009163231,0.001048182,0.0005361668,0.01147262],"genre_scores_gemma":[0.07283097,0.8607799,0.05976214,0.001133296,0.0009168194,0.0001299752,0.001248121,0.0001914026,0.003007245],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004189012,"threshold_uncertainty_score":0.02215391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881220134159553,"score_gpt":0.2941710876952756,"score_spread":0.26535888635368,"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."}}