{"id":"W4414832988","doi":"10.30757/alea.v22-40","title":"Stochastic Kimura Equation","year":2025,"lang":"en","type":"article","venue":"Latin American Journal of Probability and Mathematical Statistics","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Degenerate energy levels; Degeneracy (biology); Operator (biology); Heat equation; Gaussian; Diffusion equation; Stochastic process; Stochastic differential equation; Malliavin calculus; Kernel (algebra)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005353582,0.00007823936,0.0002218528,0.00006714186,0.00005692448,0.0000887913,0.0001983229,0.00001944226,0.000008831817],"category_scores_gemma":[0.0004592282,0.00006121192,0.00002944261,0.0002090014,0.0001166117,0.0001495866,0.00006917425,0.00013332,0.000003630692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003462359,"about_ca_system_score_gemma":0.00007045903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003317079,"about_ca_topic_score_gemma":0.000001959117,"domain_scores_codex":[0.9990576,0.00006871293,0.0004788143,0.00009330279,0.0001904716,0.0001111196],"domain_scores_gemma":[0.9988409,0.0004484485,0.0003078066,0.0001482438,0.0001870709,0.00006752984],"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":[0.00000792236,0.00006777072,0.0001924412,0.00009028178,0.00001387426,0.000001158511,0.0003463551,0.0002829508,0.00001227167,0.8704153,0.00002268324,0.1285469],"study_design_scores_gemma":[0.0001208037,0.0001550413,0.001468991,0.00006724931,0.0000131682,0.000008584318,0.00003124595,0.3576335,0.000006116987,0.6404281,0.00001952963,0.00004768899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02480482,0.00001307233,0.9741786,0.0006110265,0.00007315226,0.00009094088,0.00000892357,0.00001065166,0.0002088196],"genre_scores_gemma":[0.4344542,0.000003089141,0.5654141,0.00009458148,0.00001113743,0.000001123156,9.016533e-7,0.000001830732,0.00001900821],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4096494,"threshold_uncertainty_score":0.249615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683948453644448,"score_gpt":0.2662558014047073,"score_spread":0.2494163168682628,"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."}}