{"id":"W4384575288","doi":"10.23952/asvao.5.2023.2.06","title":"Nonsmooth optimality criterion for a $W^{1,2}$-controlled sweeping process: Nonautonomous perturbation","year":2023,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Nonlinear Partial Differential Equations","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perturbation (astronomy); Mathematics; Mathematical analysis; Control theory (sociology); Applied mathematics; Physics; Computer science; Control (management); 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":[0.0008154562,0.0002468612,0.0006763319,0.0005578623,0.0004069433,0.0001838335,0.0001186242,0.0001445339,0.00007984958],"category_scores_gemma":[0.0004802663,0.0002276662,0.0002549941,0.001576772,0.00004560493,0.0001726884,0.00004115813,0.00008957988,0.000008860769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005295765,"about_ca_system_score_gemma":0.00005489043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001568847,"about_ca_topic_score_gemma":0.00003191041,"domain_scores_codex":[0.9981269,0.00008512495,0.0006756854,0.0004999166,0.0002991443,0.0003131815],"domain_scores_gemma":[0.9985836,0.0004185697,0.0003498191,0.0002902013,0.0002603742,0.00009746525],"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":[0.000546828,0.0002525481,0.0001553528,0.0002835391,0.001705856,8.691369e-7,0.002849566,0.9352971,0.001462413,0.05410642,0.0001329733,0.003206488],"study_design_scores_gemma":[0.002167785,0.00003875979,0.0002349606,0.00001340985,0.002069182,2.957581e-7,0.0003233613,0.9772229,0.0003102239,0.01735002,0.00001599306,0.0002530986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06860825,0.00001679871,0.9289732,0.0002280679,0.00004953497,0.001320454,0.00005832237,0.0002978058,0.0004475418],"genre_scores_gemma":[0.8595254,0.00003647598,0.1371014,0.0000851547,0.0001676316,0.0008167537,0.001790789,0.00005659149,0.0004198497],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7918718,"threshold_uncertainty_score":0.9283958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04777464688806769,"score_gpt":0.3473241110405949,"score_spread":0.2995494641525272,"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."}}