{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004022491,0.0002913556,0.0003194133,0.0005866865,0.0001695234,0.0002256675,0.000227516,0.0002088114,0.001666657],"category_scores_gemma":[0.0008754089,0.0001110388,0.0002341139,0.0003084401,0.0001747333,0.0004352354,0.0003476685,0.0001382795,0.0002669801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660242,"about_ca_system_score_gemma":0.0001011395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002703064,"about_ca_topic_score_gemma":0.0003181855,"domain_scores_codex":[0.9998686,0.00003840397,0.00000805849,0.0000172183,0.00005090403,0.00001678254],"domain_scores_gemma":[0.9994625,0.0001436263,0.00006296345,0.0001000447,0.0002064403,0.00002436605],"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":[0.0008934152,0.0002391748,0.01224606,0.0003041655,0.00005858593,0.0003892123,0.0004140092,0.09603001,0.6316198,0.002131119,0.001208391,0.254466],"study_design_scores_gemma":[0.00009991208,0.004798824,0.04321595,0.00007308797,0.0001303251,0.0007032852,0.0002510903,0.3235928,0.6128351,0.003491978,0.01076191,0.00004564717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9044128,0.0004475432,0.08771431,0.00008414935,0.00002834755,0.00005737415,0.00006943716,0.000669448,0.00651648],"genre_scores_gemma":[0.9920936,0.00008992166,0.006530147,0.00001373774,0.00001047894,0.00001103069,0.00004667486,0.0000202719,0.001184138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001666657,"threshold_uncertainty_score":0.005575538,"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."}}