{"id":"W2949999225","doi":"10.48550/arxiv.1102.3992","title":"Some linear SPDEs driven by a fractional noise with Hurst index greater than 1/2","year":2011,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Hurst exponent; Mathematics; Random field; Connection (principal bundle); Type (biology); Gaussian noise; Generator (circuit theory); Mathematical analysis; Pure mathematics; Physics; Statistics; Algorithm; Geometry","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":[0.0006858926,0.0007021918,0.0008988921,0.0009450939,0.0009482697,0.001540999,0.0008363604,0.001667399,0.001596878],"category_scores_gemma":[0.002057893,0.0004074558,0.001284165,0.0004320022,0.001965169,0.001126204,0.001588782,0.001331941,0.0001506096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148546,"about_ca_system_score_gemma":0.0009358195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004822892,"about_ca_topic_score_gemma":0.002482013,"domain_scores_codex":[0.9996523,0.0000887551,0.00002075708,0.00007944651,0.00006786011,0.00009098759],"domain_scores_gemma":[0.9991386,0.0002820422,0.0002399002,0.0000293708,0.0001480167,0.0001619848],"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":[0.0002000295,0.0001088806,0.006271469,0.0002083857,0.000166275,0.002858965,0.0006553944,0.2014105,0.0209376,0.7603728,0.001712613,0.00509708],"study_design_scores_gemma":[0.00007140305,0.0001122081,0.001422648,0.0000279962,0.00004366654,0.0004042794,0.0002781753,0.8773719,0.002038957,0.1169565,0.0012061,0.00006611976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7202005,0.0008728753,0.2584109,0.002254057,0.0001873313,0.0001029256,0.0002398785,0.0001340265,0.0175974],"genre_scores_gemma":[0.9804175,0.000323117,0.01013894,0.0002163114,0.00009581024,0.00008185695,0.00009784762,0.00002259275,0.008605982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004822892,"threshold_uncertainty_score":0.009589612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06423435263458015,"score_gpt":0.1684584314134541,"score_spread":0.1042240787788739,"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."}}