{"id":"W2092372091","doi":"10.1016/s0304-4149(99)00123-4","title":"Corrigendum to “Large deviations for the Fleming-Viot process with neutral mutation and selection”","year":2000,"lang":"en","type":"erratum","venue":"Stochastic Processes and their Applications","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Mathematics; Selection (genetic algorithm); Large deviations theory; Mutation; Applied mathematics; Statistical physics; Statistics; Artificial intelligence; Genetics; Biology; 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":[0.004618983,0.003545469,0.004496736,0.005845231,0.004352727,0.004569249,0.005751981,0.00923542,0.06021429],"category_scores_gemma":[0.05032961,0.001873766,0.004245323,0.004634403,0.003512797,0.004748043,0.002172341,0.009803047,0.03574995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00849531,"about_ca_system_score_gemma":0.003450028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03269967,"about_ca_topic_score_gemma":0.03683361,"domain_scores_codex":[0.9940482,0.001439485,0.0007856671,0.001117231,0.002217754,0.0003916881],"domain_scores_gemma":[0.9798044,0.006428012,0.000617215,0.001585857,0.01102666,0.0005378632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000265209,0.00001059119,0.00004216416,0.0001279145,0.00002210535,0.0001039025,0.00001559164,0.0001676795,0.00004068984,0.005519411,0.9903521,0.003571352],"study_design_scores_gemma":[0.0001131883,0.00006345216,0.002462517,0.0003495101,0.0001541783,0.0005672121,0.00007688558,0.003615463,0.0005553984,0.03932805,0.9525719,0.0001422619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002329778,0.005243351,0.003639111,0.08062071,0.8952371,0.00006998012,0.001216031,0.0005049526,0.01323582],"genre_scores_gemma":[0.01703648,0.01442836,0.01187125,0.1376811,0.3605243,0.0005997323,0.003684042,0.002029184,0.4521456],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06021429,"threshold_uncertainty_score":0.2014369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648696442708469,"score_gpt":0.3053984772968202,"score_spread":0.2789115128697355,"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."}}