{"id":"W4248520451","doi":"10.32920/ryerson.14664006","title":"Aircraft repair damage tolerance analysis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Airplane; Aviation; Aeronautics; Damage tolerance; Structural integrity; Aircraft maintenance; Engineering; Structural failure; Service (business); Air transport; Point (geometry); Computer science; Forensic engineering; Aerospace engineering; Structural engineering; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003030864,0.0003544958,0.001088798,0.0006636945,0.00009737856,0.0006101932,0.001544676,0.0003871663,0.003745815],"category_scores_gemma":[0.003618017,0.0002588368,0.001328098,0.002439679,0.0000939255,0.0001321262,0.001392725,0.000624719,0.0002202994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007757713,"about_ca_system_score_gemma":0.0003018308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001171726,"about_ca_topic_score_gemma":0.000109764,"domain_scores_codex":[0.995142,0.0002663787,0.001076756,0.001520457,0.001646076,0.0003482689],"domain_scores_gemma":[0.994714,0.001058448,0.0002517513,0.003108776,0.0006670031,0.0001999927],"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":[0.000005286241,0.00006261819,0.004843372,0.00002960701,0.0006299081,0.0001029081,0.0002264483,0.9718246,0.00002001876,0.001534048,0.01970745,0.001013739],"study_design_scores_gemma":[0.0001307582,0.00001624377,0.03782538,0.00005749829,0.0007432636,0.000003836796,0.0003183007,0.9420107,0.00007810446,0.01011897,0.008013002,0.0006839433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0291914,0.0007079422,0.9515861,0.0003797514,0.001232808,0.000202614,0.00002685097,0.0005292592,0.01614326],"genre_scores_gemma":[0.8132734,0.00004530148,0.1547752,0.0003143004,0.0002231699,0.00004235069,0.00005630823,0.00002630404,0.03124365],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7968109,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0836851712836384,"score_gpt":0.345221342222341,"score_spread":0.2615361709387026,"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."}}