{"id":"W4406431491","doi":"10.1088/1742-5468/ada49d","title":"Optimizing cost through dynamic stochastic resetting","year":2025,"lang":"en","type":"article","venue":"Journal of Statistical Mechanics Theory and Experiment","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bijzonder Onderzoeksfonds UGent; Alliance de recherche numérique du Canada; Universiteit Hasselt","keywords":"Computer science; Mathematical optimization; Control theory (sociology); Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007676905,0.0001097631,0.0001748185,0.00004746797,0.0001075158,0.00004067702,0.0001292049,0.00007482366,0.00003237449],"category_scores_gemma":[0.0005038474,0.00009148431,0.00004820258,0.00005019403,0.00005733544,0.000006638775,0.0001394024,0.0001637891,0.000001013512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000030092,"about_ca_system_score_gemma":0.00007743442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.165126e-7,"about_ca_topic_score_gemma":9.330485e-7,"domain_scores_codex":[0.9990436,0.0001631211,0.0003056514,0.0001505935,0.0001489227,0.0001880425],"domain_scores_gemma":[0.999428,0.0001566435,0.00009930561,0.0001220109,0.00009787316,0.00009614936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007596348,0.0001133596,5.405165e-7,0.00002135093,0.00008271459,0.0000173519,0.0002328497,0.0002355083,0.2169033,0.7741433,0.0002244212,0.007265672],"study_design_scores_gemma":[0.005111079,0.003113912,0.00002726515,0.0006001378,0.0002159058,0.0002527827,0.009318674,0.05947021,0.0986393,0.810398,0.01210772,0.0007450224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0256511,0.001357169,0.9720505,0.0001696019,0.0002537776,0.0001066553,0.00001700694,0.000003137627,0.0003910749],"genre_scores_gemma":[0.970553,0.0003363205,0.02834147,0.0004513141,0.00004047244,0.000005949763,0.00001191696,0.00001148941,0.0002481026],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9449019,"threshold_uncertainty_score":0.3730622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009703282764003058,"score_gpt":0.3302548662894468,"score_spread":0.3205515835254437,"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."}}