{"id":"W4283208352","doi":"10.2514/6.2022-3881","title":"A Scoring Approach to Assess Maintenance Risk for Aircraft Systems in Conceptual Design","year":2022,"lang":"en","type":"article","venue":"AIAA AVIATION 2022 Forum","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada); Concordia University","funders":"","keywords":"Maintainability; Conceptual design; Aircraft maintenance; Avionics; Component (thermodynamics); Reliability engineering; Maintenance actions; Systems engineering; Maintenance engineering; Engineering; Computer science; Risk analysis (engineering); Aeronautics; Mechanical engineering; Aerospace engineering","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":[0.004542334,0.002086529,0.0008484235,0.00599615,0.0006359515,0.002267289,0.001241085,0.0007805831,0.004880948],"category_scores_gemma":[0.01265419,0.0005103053,0.001027593,0.002315637,0.0007417306,0.001569348,0.001754192,0.001123211,0.0008183971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102292,"about_ca_system_score_gemma":0.00104556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002151244,"about_ca_topic_score_gemma":0.002683995,"domain_scores_codex":[0.9959757,0.001277146,0.0003336082,0.0003324043,0.001928045,0.0001530849],"domain_scores_gemma":[0.9938517,0.002622045,0.0009228738,0.0005902749,0.001834914,0.0001781138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000223291,0.000344884,0.02242486,0.0003625663,0.000249138,0.0001937772,0.0005366222,0.3247058,0.01505004,0.03119484,0.004158483,0.6005557],"study_design_scores_gemma":[0.00002274537,0.0003648297,0.006949848,0.00005766672,0.00006213207,0.0001757387,0.0001972139,0.9724485,0.003754047,0.01305189,0.002844047,0.00007141462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02838959,0.0001011963,0.9662619,0.00006921589,0.00002127216,0.000230894,0.0002120118,0.0005424177,0.004171484],"genre_scores_gemma":[0.3472324,0.0001265397,0.6490914,0.0000344478,0.00003293559,0.0004208208,0.0005011958,0.0001474835,0.002412692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00599615,"threshold_uncertainty_score":0.02402246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02702326239318503,"score_gpt":0.2266006954804229,"score_spread":0.1995774330872379,"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."}}