{"id":"W2128499311","doi":"10.1109/relphy.2004.1315436","title":"Thermal runaway avoidance during burn-in","year":2004,"lang":"en","type":"article","venue":"","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal runaway; Leakage (economics); Burn-in; Junction temperature; Standby power; Burn out; Thermal; Materials science; Thermal management of electronic devices and systems; Current (fluid); Optoelectronics; Nuclear engineering; Electrical engineering; Computer science; Engineering; Voltage; Mechanical engineering; Physics; Medicine; Power (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":[0.00003120322,0.00006725107,0.00007648073,0.00002872469,0.00001293881,0.00002186568,0.00006028405,0.00002985976,0.0002969507],"category_scores_gemma":[0.00000219836,0.00005796907,0.00001471082,0.00005006171,0.000005984547,0.0001074637,0.000009502895,0.00004236135,0.0000796535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003186766,"about_ca_system_score_gemma":0.000003380657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007605832,"about_ca_topic_score_gemma":0.00004539303,"domain_scores_codex":[0.9996409,0.000002712355,0.00009806143,0.00007099405,0.00004381757,0.0001434879],"domain_scores_gemma":[0.9998765,0.000004413345,0.000005697648,0.00008652532,0.000003743014,0.00002310367],"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":[0.00000167504,0.000004857769,0.0006274102,0.00003124534,0.000002952494,0.000009289699,0.0001471942,0.04113923,0.9574331,0.000554028,0.000005558322,0.00004343936],"study_design_scores_gemma":[0.0004432109,0.000004489381,0.04176089,0.00003526199,0.000001148084,0.000004043763,0.00006013734,0.0001927211,0.9568389,0.0002212425,0.0002982864,0.0001396841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818464,0.0002878957,0.00002339169,0.00001548928,0.0002609685,0.00003658972,7.445997e-7,0.0002096056,0.01731893],"genre_scores_gemma":[0.9995291,0.00002334212,0.0002447747,0.00002677586,0.0000845083,0.000004804821,5.490159e-7,0.00001382804,0.00007238044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04113348,"threshold_uncertainty_score":0.3251402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006109158273408016,"score_gpt":0.1871693270161263,"score_spread":0.1810601687427183,"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."}}