{"id":"W2285788648","doi":"10.4271/2005-01-3389","title":"Reliability of the Engine Electronic Controls and a Novel Approach to Improve Service Life","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Boeing (Canada)","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Service life; Service (business); Computer science; Automotive engineering; Accelerated life testing; Engineering; Weibull distribution","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":[0.0008234724,0.0006884431,0.0003705784,0.0007555769,0.0003532348,0.001018372,0.0009846954,0.0007740381,0.002865975],"category_scores_gemma":[0.002240507,0.0003587024,0.0005575066,0.0003542896,0.0008139811,0.001747681,0.0006582651,0.001102815,0.0008640247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000910304,"about_ca_system_score_gemma":0.0007161146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006047584,"about_ca_topic_score_gemma":0.0007119234,"domain_scores_codex":[0.9990853,0.0001853329,0.00003821243,0.0001696742,0.0004557099,0.00006576406],"domain_scores_gemma":[0.9989392,0.0002879575,0.0001254837,0.0002580063,0.0003489236,0.00004040977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002176555,0.0002411368,0.0008854764,0.000447507,0.00005567504,0.0002978097,0.0004316792,0.09849235,0.1047435,0.3616202,0.0115314,0.4210356],"study_design_scores_gemma":[0.00010058,0.0008760497,0.001560602,0.0001550425,0.0001149763,0.0008954231,0.0001367231,0.6880717,0.07105717,0.1438284,0.09310133,0.0001018998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01525828,0.00223596,0.9591931,0.001513774,0.0002971168,0.00008469256,0.00005429398,0.001171777,0.0201909],"genre_scores_gemma":[0.5315834,0.003544493,0.4437586,0.0004984124,0.0007612383,0.0002757514,0.0001070243,0.0003283034,0.01914281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002865975,"threshold_uncertainty_score":0.009587646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006040276879679843,"score_gpt":0.2058293437884614,"score_spread":0.1997890669087816,"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."}}