{"id":"W2401891657","doi":"10.1038/nature21723","title":"Evolutionary dynamics on any population structure","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":527,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Pairwise comparison; Coalescent theory; Evolutionary dynamics; Population; Natural selection; Selection (genetic algorithm); Evolutionary game theory; Population size; Computer science; Group selection; Trait; Graph; Simple (philosophy); Theoretical computer science; Evolutionary biology; Mathematical economics; Game theory; Mathematics; Biology; Artificial intelligence; Phylogenetic tree; Epistemology; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001883961,0.00007038546,0.00006382061,0.00003486371,0.002322762,0.00009538222,0.0002798693,0.0008326799,0.0002490856],"category_scores_gemma":[0.0003851425,0.00006618217,0.00003377691,0.00005488646,0.0001158877,0.0004221459,0.00002331029,0.0008341731,0.00002970142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189876,"about_ca_system_score_gemma":0.00006104671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002828493,"about_ca_topic_score_gemma":0.003483446,"domain_scores_codex":[0.9992266,0.0001042233,0.00007134348,0.0001562302,0.0002953488,0.0001463025],"domain_scores_gemma":[0.9994731,0.00003170959,0.00008093963,0.0002736918,0.0000911242,0.00004946429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003380486,0.00001666956,0.02202664,0.00000215042,0.000004878864,0.000001794966,0.0002920445,0.0001194552,0.0000335944,0.9710931,0.002440065,0.003935828],"study_design_scores_gemma":[0.0001754761,0.00003578901,0.8240723,0.00002389739,0.000009171748,0.000001668123,0.0002909499,0.001200952,0.00001574908,0.1506302,0.02338167,0.0001622141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9007826,0.0002354966,0.00004724161,0.01019476,0.001630623,0.0002103537,0.00008155064,0.000109021,0.08670837],"genre_scores_gemma":[0.9947714,0.00001917465,0.000159282,0.0004532771,0.0006920836,0.000002246401,0.0001197273,0.000005901287,0.003776886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8204629,"threshold_uncertainty_score":0.9989761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007728588569604922,"score_gpt":0.3101512254781906,"score_spread":0.3024226369085857,"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."}}