{"id":"W2964929082","doi":"10.1109/rams.2019.8768911","title":"A Methodology for Aircraft Reliability, Maintainability, Availability, and Cost Management","year":2019,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Maintainability; Reliability engineering; Reliability (semiconductor); Computer science; Aircraft maintenance; Engineering; Aeronautics","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":[0.001554162,0.000201265,0.0003183239,0.00008183189,0.0000485795,0.00003898988,0.0001620136,0.0001393065,0.0002949339],"category_scores_gemma":[0.0001624726,0.000185056,0.00008951771,0.0001501558,0.0001143626,0.0001849574,0.000136942,0.0001169458,0.00005624837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001769753,"about_ca_system_score_gemma":0.00001180689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002283781,"about_ca_topic_score_gemma":0.00002748696,"domain_scores_codex":[0.9985583,0.00008777164,0.0003617583,0.0004810131,0.0001131026,0.0003980805],"domain_scores_gemma":[0.9987134,0.0004658267,0.00002540627,0.000586045,0.0001151858,0.00009417254],"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":[0.0004795142,0.0004196805,0.05360411,0.01042631,0.0002940055,0.00000487135,0.000938498,0.4270186,0.001359835,0.3541975,0.0171748,0.1340823],"study_design_scores_gemma":[0.003789631,0.0005518615,0.01699383,0.00007983431,0.0001321387,0.00002456798,0.001363706,0.4891646,0.001791759,0.2972308,0.1876808,0.001196459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2066895,0.0001389966,0.741635,0.001414533,0.0008918836,0.006019456,0.00002113117,0.0007810566,0.04240838],"genre_scores_gemma":[0.6745395,0.000283317,0.319768,0.0003060965,0.00004213692,0.0005942732,0.0000281085,0.00005921629,0.00437935],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.46785,"threshold_uncertainty_score":0.7546363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766137511665794,"score_gpt":0.2548030817882515,"score_spread":0.2371417066715936,"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."}}