{"id":"W4295953387","doi":"10.4050/f-0078-2022-1269","title":"Application of MSG-3 Maintenance to the Bell 525","year":2022,"lang":"en","type":"article","venue":"","topic":"Engineering and Test Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Aircraft maintenance; Original equipment manufacturer; Maintenance engineering; Reliability (semiconductor); Reliability engineering; Aviation; Process (computing); Operational maintenance; Engineering; Preventive maintenance; Computer science; Aeronautics; Computerized maintenance management system","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":[0.000451631,0.0003073742,0.0001211299,0.0006109069,0.0004098514,0.0005821846,0.0006031687,0.0003642415,0.004773777],"category_scores_gemma":[0.0006937624,0.0001434987,0.0001875288,0.000330559,0.0002678403,0.0002299472,0.000605544,0.0003814504,0.0009619018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072859,"about_ca_system_score_gemma":0.001143139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01150115,"about_ca_topic_score_gemma":0.01320005,"domain_scores_codex":[0.9993932,0.00007278044,0.00002000352,0.00008211255,0.0003723772,0.00005946248],"domain_scores_gemma":[0.9997231,0.0000299302,0.00003012863,0.0000593421,0.0001262411,0.00003121671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005834609,0.0002874147,0.007917595,0.0002137346,0.00001916885,0.0007042579,0.0006460662,0.0164827,0.1290593,0.03200302,0.03141462,0.7806685],"study_design_scores_gemma":[0.0004609016,0.005174029,0.03973177,0.0001803155,0.0001026095,0.002780281,0.0003658637,0.1647544,0.1445033,0.007114629,0.634726,0.000105892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3649522,0.001928047,0.3825258,0.003007412,0.0005287052,0.001574016,0.00113964,0.01370622,0.230638],"genre_scores_gemma":[0.775285,0.0004055687,0.188965,0.0005211754,0.0001118785,0.000288114,0.000815759,0.0002754559,0.03333204],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01150115,"threshold_uncertainty_score":0.02286839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003252829620852889,"score_gpt":0.1643402379803854,"score_spread":0.1610874083595326,"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."}}