{"id":"W2945452609","doi":"","title":"A MORE INTEGRATED DESIGN APPROACH FOR EMBEDDED MECHATRONIC SYSTEMS: APPLICATION TO ELECTRICAL THRUST REVERSER ACTUATION SYSTEMS","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Mechatronics; Sizing; Context (archaeology); Engineering design process; Multidisciplinary approach; Systems engineering; Thrust; Systems design; Computer science; Control engineering; Design methods; Multidisciplinary design optimization; Reusability; Process (computing); Engineering; Mechanical 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007084325,0.0005049247,0.000635079,0.0003221254,0.000208866,0.0004423216,0.001071372,0.0005582165,0.000006504355],"category_scores_gemma":[0.001240387,0.0005227266,0.0001883383,0.0006637186,0.00006028434,0.0001065518,0.0002828249,0.0005516352,0.00002574865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005555431,"about_ca_system_score_gemma":0.0001966944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003852763,"about_ca_topic_score_gemma":0.00002032449,"domain_scores_codex":[0.9954358,0.002058701,0.0007835533,0.0008686654,0.0003587042,0.0004945886],"domain_scores_gemma":[0.9940526,0.001646957,0.0003189588,0.002045844,0.001761954,0.0001736299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002814156,0.0002101123,0.00001593122,0.001377315,0.0003036499,3.793224e-7,0.004135192,0.9087376,0.01622776,0.04992218,0.01015761,0.008884149],"study_design_scores_gemma":[0.0002835664,0.000001352939,0.00005275867,0.0007346271,0.00008218863,0.000008312681,0.0003365798,0.9814773,0.008132731,0.0003518025,0.00801847,0.0005203294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002461571,0.001194904,0.9877185,0.0003915495,0.0004100227,0.004326753,0.0001306873,0.001228517,0.002137549],"genre_scores_gemma":[0.4883184,0.0002321998,0.5012808,0.00002551247,0.0001253509,0.007372836,0.001427662,0.0001777035,0.00103953],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4864376,"threshold_uncertainty_score":0.9997224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528501019129185,"score_gpt":0.2555495103259729,"score_spread":0.220264500134681,"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."}}