{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001633538,0.00009450782,0.0002411551,0.0001490917,0.00003197722,0.000001429254,0.0001327074,0.00003841419,0.000002362498],"category_scores_gemma":[0.00002325958,0.00007856805,0.00004022283,0.00023866,0.00006223211,0.0001883812,0.000006232121,0.000205335,0.000004231902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001462995,"about_ca_system_score_gemma":0.00003589994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001381828,"about_ca_topic_score_gemma":0.0001360173,"domain_scores_codex":[0.999266,0.00000468414,0.0004133041,0.00006109232,0.0001216304,0.0001332692],"domain_scores_gemma":[0.9995974,0.00001439961,0.00003990535,0.000105452,0.0002003424,0.00004255464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003184169,0.0001939254,0.1061637,0.00008922999,0.0004624722,0.0001208638,0.003890633,0.8814536,0.0009352201,0.001417795,0.003096221,0.002144555],"study_design_scores_gemma":[0.01365887,0.0009293649,0.6142166,0.001205941,0.000506897,0.0004001732,0.03035817,0.004908606,0.01674879,0.02444233,0.290833,0.001791238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250785,0.00984701,0.06140586,0.001924144,0.0005010261,0.0002739794,0.00001396662,0.0001397463,0.0008158092],"genre_scores_gemma":[0.9907353,0.001194815,0.007832035,0.00003913959,0.00005023797,0.00002610732,0.000002052734,0.00001242987,0.0001079004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.876545,"threshold_uncertainty_score":0.3203912,"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."}}