{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000753314,0.0006093081,0.000800169,0.0006629475,0.000921769,0.001789614,0.001061163,0.001558279,0.005904354],"category_scores_gemma":[0.004194834,0.0002412188,0.0005498761,0.0006278256,0.002243441,0.004293541,0.001502897,0.002032127,0.0005048388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009857659,"about_ca_system_score_gemma":0.0007005936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646477,"about_ca_topic_score_gemma":0.0009318983,"domain_scores_codex":[0.9995567,0.000143314,0.00001689065,0.00008196378,0.0001217942,0.00007932718],"domain_scores_gemma":[0.9985861,0.0008439397,0.0001094235,0.0001660886,0.0001707536,0.0001238595],"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":[0.000003691771,0.000008985753,0.00009611165,0.00001872051,0.000008173206,0.00007106137,0.00005363528,0.00733278,0.0002359388,0.9884722,0.0008675969,0.002831076],"study_design_scores_gemma":[0.000006300494,0.000005788423,0.000122716,0.000005504379,0.000004213959,0.00005046709,0.00002781089,0.02285325,0.00004911547,0.9746425,0.002227882,0.000004511968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.181385,0.001343914,0.5548245,0.009839314,0.0006292631,0.0001054745,0.0003243747,0.0002171838,0.251331],"genre_scores_gemma":[0.9106995,0.001434862,0.03931713,0.0007037087,0.0003829278,0.000159516,0.0001875278,0.00006777696,0.04704709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005904354,"threshold_uncertainty_score":0.01975203,"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."}}