{"id":"W4318069098","doi":"","title":"Dispatch analysis automation of the aircraft engine control system","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Engine and Fuel Emissions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Automation; Computer science; Aeronautics; Control system; Automotive engineering; Control (management); Process automation system; Engineering; Mechanical engineering; Artificial intelligence; Electrical 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004328743,0.0005592094,0.0007192742,0.0006894232,0.0005749927,0.001053449,0.0003303731,0.0003573797,0.006407979],"category_scores_gemma":[0.0009541557,0.0001585846,0.0004623708,0.0002336274,0.0002509912,0.000354919,0.0002850969,0.000634081,0.0007451021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007164556,"about_ca_system_score_gemma":0.001035301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007425339,"about_ca_topic_score_gemma":0.005649948,"domain_scores_codex":[0.999599,0.00009068682,0.00001840762,0.00009046552,0.0001441561,0.00005723159],"domain_scores_gemma":[0.9995608,0.0001968855,0.00004036356,0.00004200049,0.0001369211,0.00002297058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006124935,0.0001216008,0.001703964,0.0002773395,0.00006413966,0.0002697296,0.0001914344,0.71565,0.04664792,0.02198534,0.005513983,0.206962],"study_design_scores_gemma":[0.00001208574,0.00003373764,0.0008663962,0.000005326761,0.000008400391,0.00001649239,0.00001108859,0.9904366,0.004698159,0.00260373,0.001303309,0.000004626536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1566029,0.000286647,0.8277951,0.0003530182,0.0001435968,0.00009885795,0.0004363403,0.002295262,0.0119882],"genre_scores_gemma":[0.9518082,0.00007397209,0.0412687,0.00003295433,0.0000409769,0.00003255121,0.0002350541,0.0001455135,0.006362059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007425339,"threshold_uncertainty_score":0.02143681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006289973760003014,"score_gpt":0.1986130182887324,"score_spread":0.1923230445287294,"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."}}