{"id":"W3113394664","doi":"10.1137/21m1446162","title":"Large Deviations for Additive Functionals of Reflected Jump-Diffusions","year":2022,"lang":"en","type":"article","venue":"SIAM Journal on Applied Mathematics","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jump; Mathematics; Brownian motion; Jump process; Jump diffusion; Boundary (topology); Bounded function; Diffusion process; Exponential function; Diffusion; Characterization (materials science); Domain (mathematical analysis); Mathematical analysis; Rate function; Lévy process; Large deviations theory; Term (time); Applied mathematics; Computer science; Physics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005636323,0.001602084,0.001072153,0.002657879,0.0006684143,0.002390984,0.002026923,0.001852618,0.00287318],"category_scores_gemma":[0.0192092,0.0005999151,0.002012092,0.0007607619,0.003055168,0.003191128,0.003335951,0.002743262,0.0005604962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981044,"about_ca_system_score_gemma":0.001162016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001242932,"about_ca_topic_score_gemma":0.0007988772,"domain_scores_codex":[0.9984996,0.0005014964,0.00009697634,0.0002620807,0.0004801522,0.0001595698],"domain_scores_gemma":[0.9890274,0.007250847,0.001151801,0.000587817,0.001217856,0.0007643984],"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":[0.00004181624,0.00003999322,0.0007179747,0.0001370702,0.00005209179,0.0002340152,0.0002688073,0.1054685,0.005996761,0.8818592,0.0003466879,0.004837196],"study_design_scores_gemma":[0.00001843253,0.00004024667,0.0003377016,0.00003089645,0.00001960943,0.0001183154,0.00004638411,0.7783332,0.001176863,0.2190877,0.0007615098,0.00002902212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1072651,0.001190243,0.8803777,0.00088311,0.0001207999,0.00007080545,0.00009871294,0.0002607604,0.00973272],"genre_scores_gemma":[0.9104208,0.001231331,0.0720709,0.0003481861,0.0001557891,0.000295965,0.0001974516,0.0002745315,0.01500512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005636323,"threshold_uncertainty_score":0.02980804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827670161886557,"score_gpt":0.2947656239152652,"score_spread":0.2764889222963997,"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."}}