{"id":"W4413977537","doi":"10.1051/m2an/2025073","title":"Bounding escape rates and approximating quasi-stationary distributions of Brownian dynamics","year":2025,"lang":"en","type":"article","venue":"ESAIM. Mathematical modelling and numerical analysis","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Bounding overwatch; Statistical physics; Mathematics; Dynamics (music); Brownian motion; Physics; Computer science; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004441621,0.001266071,0.0008986433,0.001406693,0.0006277472,0.001703887,0.001449862,0.001390178,0.001362822],"category_scores_gemma":[0.01666032,0.00059631,0.0009098194,0.0005673459,0.002764783,0.002022788,0.001793141,0.002350773,0.0003519397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645888,"about_ca_system_score_gemma":0.001446181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004152328,"about_ca_topic_score_gemma":0.002518645,"domain_scores_codex":[0.9988298,0.0006071589,0.00004397804,0.0001066155,0.0002971153,0.000115436],"domain_scores_gemma":[0.9885933,0.009630888,0.0006312432,0.0003270162,0.000582851,0.0002346133],"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":[0.00003671835,0.0000267546,0.000499784,0.00006221877,0.00001690252,0.00007168319,0.0001366948,0.86304,0.002320539,0.1286487,0.0003685537,0.004771537],"study_design_scores_gemma":[0.000001062785,0.000003446689,0.00001947913,0.000003281716,8.010059e-7,0.000005124964,0.000004438939,0.9866469,0.000166332,0.01305725,0.00008958564,0.000002361713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01948719,0.0002421657,0.9775875,0.0002264685,0.00003335701,0.00002442652,0.00002428886,0.0001412597,0.002233406],"genre_scores_gemma":[0.7101239,0.0008720593,0.2811171,0.0002095926,0.0001127383,0.0002681787,0.000140276,0.0003984214,0.006757692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004441621,"threshold_uncertainty_score":0.02348983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131032993689361,"score_gpt":0.2790342537354422,"score_spread":0.2677239237985486,"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."}}