{"id":"W2148495027","doi":"10.5539/mas.v2n4p33","title":"Manpower Management Benefits Predictor Method for Aircraft Two Level Maintenance Concept","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computerized maintenance management system; Aircraft maintenance; Computer science; Operations management; Operations research; Management system; Planned maintenance; Process (computing); Reliability engineering; Risk analysis (engineering); Business; Preventive maintenance; Engineering; Aeronautics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005362163,0.0005397078,0.0003731249,0.0006863365,0.0002513684,0.0004983767,0.0006997946,0.0003915109,0.003787023],"category_scores_gemma":[0.001673849,0.0001823219,0.0004411785,0.0005492514,0.0002737449,0.0008909926,0.000395002,0.001018943,0.0004058962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005921067,"about_ca_system_score_gemma":0.0007919423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004850378,"about_ca_topic_score_gemma":0.002824445,"domain_scores_codex":[0.9997597,0.00006353955,0.000007935286,0.00006597831,0.00007408936,0.00002864911],"domain_scores_gemma":[0.9995825,0.0002088411,0.00004809028,0.00003127468,0.0001042936,0.00002507143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000967684,0.0001229719,0.00609417,0.00008229547,0.00005224437,0.00009273001,0.00009874618,0.806882,0.002744955,0.02709601,0.002049678,0.1545876],"study_design_scores_gemma":[0.000004099149,0.00002453324,0.0004885219,0.000003875264,0.000006125763,0.00001072265,0.000004384437,0.9963225,0.0003807827,0.00238948,0.0003600095,0.000005014343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02905118,0.000172735,0.9681485,0.0001339164,0.0000523009,0.00003907445,0.00008607638,0.0004164403,0.001899692],"genre_scores_gemma":[0.9048212,0.0003357159,0.08846498,0.00008228932,0.00008930641,0.0002616858,0.0002948052,0.00006056193,0.005589474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004850378,"threshold_uncertainty_score":0.01266879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301731407624138,"score_gpt":0.2458947059188435,"score_spread":0.2228773918426021,"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."}}