{"id":"W2083848320","doi":"10.1214/105051604000000701","title":"The stepping stone model. II: Genealogies and the infinite sites model","year":2005,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Institute of General Medical Sciences; Deutscher Akademischer Austauschdienst; National Science Foundation","keywords":"Coalescent theory; Stepping stone; Population; Coalescence (physics); Torus; Sequence (biology); Haplotype; Mutation; Evolutionary biology; Genetic model; Biology; Mathematics; Genetics; Geometry; Allele; Phylogenetics; Demography; Gene; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285064,0.0001330933,0.0001439275,0.000008922752,0.0004219666,0.00002458607,0.000362352,0.00008184816,0.00000142052],"category_scores_gemma":[0.00008627561,0.00006615926,0.00007833145,0.00005777672,0.0009449431,0.000003096811,0.0003928772,0.000111301,0.000001071934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004531976,"about_ca_system_score_gemma":0.00006062922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005174417,"about_ca_topic_score_gemma":0.0001078043,"domain_scores_codex":[0.9990771,0.00006458628,0.0002717259,0.0002279695,0.0001390902,0.000219563],"domain_scores_gemma":[0.9989712,0.00007285385,0.0001224263,0.0006820131,0.0001167406,0.00003477579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000912844,0.0000774345,0.00007535908,0.00002804486,0.00009705337,1.633545e-8,0.0008985974,0.8672467,0.03903211,0.08066919,0.001319195,0.009643376],"study_design_scores_gemma":[0.0006306622,0.00006277845,0.0004680972,0.000002991238,0.00002645131,0.000001211916,0.0001656028,0.8311251,0.01427188,0.1497237,0.003363097,0.0001583752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799857,0.001651787,0.005735664,0.008723866,0.00001066441,0.000513608,0.00002132805,0.00001373044,0.003343663],"genre_scores_gemma":[0.9950991,0.001192103,0.002211968,0.001119581,0.00004637811,0.00005304703,0.00001225663,0.000009167199,0.0002564595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06905449,"threshold_uncertainty_score":0.3481682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04867174558447363,"score_gpt":0.2946109476675512,"score_spread":0.2459392020830776,"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."}}