{"id":"W4402901762","doi":"10.1103/physrevresearch.6.033343","title":"Thermodynamic cost of finite-time stochastic resetting","year":2024,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NordForsk; Vetenskapsrådet; Deutsche Forschungsgemeinschaft; Alliance de recherche numérique du Canada; Leverhulme Trust","keywords":"Computer science; Applied mathematics; Mathematics","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":[0.001209626,0.0001079189,0.0002238562,0.00007345565,0.00006045167,0.00003520522,0.0003400163,0.00004154112,0.0001010213],"category_scores_gemma":[0.001458276,0.00008366151,0.0001624508,0.0004456014,0.0002075782,0.000004250795,0.0003221456,0.0003468511,0.0003197028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002214464,"about_ca_system_score_gemma":0.0001757898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009056454,"about_ca_topic_score_gemma":0.000002535774,"domain_scores_codex":[0.9982339,0.0003104224,0.0001926234,0.0003429691,0.0005526296,0.000367459],"domain_scores_gemma":[0.9988803,0.0003570948,0.00002170505,0.0004083891,0.0002101996,0.0001223453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004438847,0.0002364091,0.000005476709,0.00262902,0.00006952857,0.00001305511,0.00004833907,0.00007555612,0.8961535,0.005026873,0.006875644,0.08882225],"study_design_scores_gemma":[0.0006227882,0.001496464,0.0002841637,0.01154374,0.00009127067,0.00001906233,0.00006227401,0.8143802,0.01422192,0.009743844,0.1467693,0.0007649023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7778399,0.1658829,0.009118897,0.004108743,0.0002313698,0.003691738,0.0002854801,0.0001098824,0.03873108],"genre_scores_gemma":[0.989382,0.007705448,0.00004342749,0.000106224,0.0001812879,0.00007565053,0.0001154474,0.00003155893,0.002358997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8819315,"threshold_uncertainty_score":0.4109239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764610800554245,"score_gpt":0.4421174282715026,"score_spread":0.3944713202659601,"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."}}