{"id":"W57496944","doi":"10.1088/1361-6544/aa99a7","title":"Large deviations and mixing for dissipative PDEs with unbounded random kicks","year":2018,"lang":"en","type":"preprint","venue":"Nonlinearity","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Bounded function; Mathematics; Mixing (physics); Uniqueness; Domain (mathematical analysis); Markov chain; Dissipative system; Markov process; Dynamical systems theory; Measure (data warehouse); Applied mathematics; Statistical physics; Mathematical analysis; Large deviations theory; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00286219,0.0007155235,0.0009646372,0.001235976,0.0007420424,0.001912058,0.001155835,0.001722179,0.001375413],"category_scores_gemma":[0.01041952,0.0004529393,0.001041718,0.0004358148,0.003438789,0.00250193,0.002575689,0.001464827,0.0001156934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222608,"about_ca_system_score_gemma":0.0006400095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420009,"about_ca_topic_score_gemma":0.0006247986,"domain_scores_codex":[0.9991412,0.0003329851,0.00005515529,0.0001866271,0.0001875438,0.00009637535],"domain_scores_gemma":[0.9950879,0.003202673,0.0008127519,0.0001901938,0.0002888885,0.000417566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008173558,0.00005292068,0.002001865,0.00009389181,0.00009134059,0.0003560567,0.0002987138,0.132689,0.00622925,0.8553751,0.000299949,0.002430212],"study_design_scores_gemma":[0.00001916359,0.0000298752,0.0006072767,0.00001422917,0.00001185943,0.00008447863,0.00005149675,0.7488734,0.0007185225,0.2492988,0.0002672939,0.0000235875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5359714,0.0009447193,0.4541768,0.002183263,0.00009040209,0.0000463018,0.00007512572,0.00009708555,0.006414859],"genre_scores_gemma":[0.9908145,0.0001816007,0.006546754,0.00007050687,0.00005237327,0.00004003072,0.00003164949,0.00002167065,0.002241022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00286219,"threshold_uncertainty_score":0.01513684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04010172691864418,"score_gpt":0.2760207995692027,"score_spread":0.2359190726505586,"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."}}