{"id":"W3015909996","doi":"10.38008/jats.v6i2.57","title":"RFID Applications in Airline Maintenance Operations","year":2015,"lang":"en","type":"article","venue":"Journal of Air Transport Studies","topic":"RFID technology advancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; International Air Transport Association","funders":"HEC Montréal","keywords":"Radio-frequency identification; Notice; Implementation; Aviation; Business; Identification (biology); Enterprise resource planning; Aircraft maintenance; Computer science; Process management; Computer security; Engineering; Aeronautics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001002706,0.000225768,0.0001041247,0.000916694,0.0005207227,0.001178136,0.0003075841,0.000656452,0.003988022],"category_scores_gemma":[0.003350032,0.0001224625,0.0001888657,0.001308513,0.000252618,0.001143072,0.0005258872,0.0002380725,0.0007282048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007757624,"about_ca_system_score_gemma":0.0005875576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00474198,"about_ca_topic_score_gemma":0.006436151,"domain_scores_codex":[0.9990271,0.0004204162,0.00007531973,0.00009394481,0.0002683691,0.0001149393],"domain_scores_gemma":[0.9974862,0.001097328,0.0007218994,0.00008771675,0.0004997624,0.0001070827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005583868,0.0003247324,0.289235,0.001705836,0.0000588575,0.002880276,0.02157623,0.001806705,0.01557029,0.003343856,0.007583676,0.6553562],"study_design_scores_gemma":[0.00002082178,0.001105241,0.7860463,0.001308493,0.0001376326,0.005481396,0.04137015,0.003212471,0.006437318,0.001260374,0.1535549,0.00006487829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264442,0.01811391,0.008425372,0.002911685,0.0001730301,0.00007759555,0.0001924123,0.0001921472,0.04346955],"genre_scores_gemma":[0.9886464,0.004029503,0.002973306,0.000226087,0.00005793048,0.00001653562,0.00008551859,0.000007482465,0.003957145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00474198,"threshold_uncertainty_score":0.01334131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551217208220677,"score_gpt":0.2835723062513037,"score_spread":0.2580601341690969,"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."}}