{"id":"W4247442685","doi":"10.32920/ryerson.14664006.v1","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; Structural failure; Engineering; Service (business); Point (geometry); Computer science; Forensic engineering; Structural engineering; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004268237,0.0005165696,0.0004347086,0.002098299,0.0003387428,0.0006064762,0.0007697582,0.0005398376,0.006497396],"category_scores_gemma":[0.001172406,0.0001681202,0.0009659961,0.0006738247,0.0002236389,0.0004412519,0.0004614074,0.000406706,0.001394279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004914168,"about_ca_system_score_gemma":0.0004225477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005426284,"about_ca_topic_score_gemma":0.002819277,"domain_scores_codex":[0.9995433,0.00004036159,0.00002106185,0.00008056586,0.0002427173,0.00007193688],"domain_scores_gemma":[0.9995025,0.0001277598,0.00008247227,0.00006032333,0.0002114732,0.00001538483],"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":[0.00004939462,0.00005382198,0.004724906,0.0001305958,0.00003745344,0.0001580307,0.00009306036,0.89816,0.009782432,0.009050424,0.002245819,0.07551394],"study_design_scores_gemma":[0.000004949738,0.0001824996,0.01009874,0.00004584866,0.00002905579,0.0003952747,0.0001300221,0.9659402,0.008875333,0.004148506,0.0101207,0.00002889847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3131899,0.001724509,0.5600492,0.0003045262,0.0001442756,0.0003502152,0.002668588,0.001190451,0.1203784],"genre_scores_gemma":[0.9543797,0.0005832272,0.02342493,0.00007657875,0.00002697687,0.0001162069,0.001497981,0.0001625406,0.0197318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006497396,"threshold_uncertainty_score":0.02173591,"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."}}