{"id":"W1926032255","doi":"10.1109/ectc.1993.346847","title":"Field reliability enhancement of electronic modules using ESS","year":2002,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Reliability (semiconductor); Original equipment manufacturer; Reliability engineering; Field (mathematics); Computer science; Engineering; Mathematics; Operating system; 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":[0.00008674033,0.00006425119,0.00009787842,0.00002248366,0.00001625579,0.000005186253,0.00005842933,0.00004524251,0.0007014999],"category_scores_gemma":[0.00003476156,0.00005876087,0.00003432501,0.0000880672,0.00001574476,0.00008979718,0.00001025748,0.00006493064,0.000007414473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006980469,"about_ca_system_score_gemma":0.000003163397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000307426,"about_ca_topic_score_gemma":0.00000752026,"domain_scores_codex":[0.9994905,0.000008543914,0.0001688035,0.00009369611,0.00007197951,0.0001665006],"domain_scores_gemma":[0.9997137,0.00002621926,0.00001596306,0.0001881784,0.00003730402,0.00001864044],"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":[0.000008771482,0.00008971532,0.0002937604,0.0001697832,0.00002063784,2.175046e-7,0.0001818476,0.9716324,0.0146825,0.003375679,0.00104888,0.008495829],"study_design_scores_gemma":[0.00008265365,0.00004900382,0.00002771772,0.00001320813,0.000005399939,4.321681e-7,0.00001632721,0.9039332,0.09438059,0.000843869,0.0005769979,0.00007059651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5312211,0.0001672887,0.4579487,0.00006456466,0.00009384557,0.0001083368,6.11964e-7,0.00007548623,0.01032005],"genre_scores_gemma":[0.9915958,0.0002822609,0.007849485,0.00002225226,0.00001287241,0.000004726737,8.540569e-7,0.000007145646,0.0002245866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4603747,"threshold_uncertainty_score":0.7680932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009046208638640469,"score_gpt":0.2001128744538369,"score_spread":0.1910666658151964,"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."}}