{"id":"W4312952041","doi":"10.23952/jnva.6.2022.2.08","title":"Dynamic optimization with a non-smooth LPV system in aero-engine transition state acceleration process","year":2022,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Rocket and propulsion systems research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; National Natural Science Foundation of China; Chongqing Normal University","keywords":"Acceleration; Process (computing); State (computer science); Transition (genetics); Control theory (sociology); Computer science; Automotive engineering; Mechanical engineering; Control engineering; Engineering; Physics; Algorithm; Classical mechanics; Chemistry; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005633604,0.00009305869,0.0002692951,0.0007649441,0.0001108383,0.00005392397,0.00007651795,0.0000273671,0.00007175327],"category_scores_gemma":[0.000005426389,0.00007675073,0.00006755278,0.001267342,0.000005857934,0.0002715042,0.000008555856,0.0002250679,4.777647e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594777,"about_ca_system_score_gemma":0.00006574695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001873432,"about_ca_topic_score_gemma":0.00004327869,"domain_scores_codex":[0.9987572,0.00007616004,0.0004438511,0.00009744171,0.0005167091,0.0001086451],"domain_scores_gemma":[0.9994947,0.00003616479,0.00013509,0.00005518091,0.0002236947,0.00005521138],"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":[0.000106717,0.00003619581,0.0009255302,0.00008042143,0.0002893646,0.00001360331,0.0006818011,0.9957755,0.0001861656,0.000001672121,0.000006051398,0.001896927],"study_design_scores_gemma":[0.0006588115,0.0001030872,0.005594082,0.00002486285,0.0001445523,0.00003850523,0.000584633,0.9926839,0.00004373386,0.000008871006,0.00002797557,0.00008698978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6087549,0.0001114185,0.3907683,0.0001090064,0.00004434548,0.0001100705,0.00003847437,0.00001378738,0.00004966907],"genre_scores_gemma":[0.9947671,0.00004116489,0.00497775,0.000007950471,0.00004795559,0.0000149184,0.0001029135,0.00001272494,0.00002746817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3860122,"threshold_uncertainty_score":0.3129804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006295422298800445,"score_gpt":0.236507276735398,"score_spread":0.2302118544365975,"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."}}