{"id":"W2016518708","doi":"10.1086/677137","title":"Multidimensional (Co)Evolutionary Stability","year":2014,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epistasis; Trait; Coevolution; Evolutionary dynamics; Fitness landscape; Evolutionary biology; Curse of dimensionality; Pleiotropy; Biology; Stability (learning theory); Human evolutionary genetics; Adaptation (eye); Quantitative genetics; Genetic variation; Genetics; Mathematics; Phenotype; Computer science; Population; Statistics; Phylogenetics; Machine learning","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":[0.0002292167,0.0001077488,0.0001044984,0.00001459722,0.0001512114,0.000007855781,0.0001979744,0.00003494304,0.00004494061],"category_scores_gemma":[0.0001448539,0.00007558131,0.00008007344,0.00009666284,0.0005846719,0.000001587571,0.00008658735,0.0001093925,0.00007181092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001842816,"about_ca_system_score_gemma":0.00003479689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001271859,"about_ca_topic_score_gemma":0.00005552627,"domain_scores_codex":[0.9991339,0.0001714412,0.0001242142,0.0002453216,0.0001424739,0.000182604],"domain_scores_gemma":[0.9992816,0.00003723586,0.00009006872,0.0004575237,0.00007288788,0.00006062284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006818905,0.0003603876,0.04378319,0.00002003895,0.0001630084,0.000001681994,0.0001406941,0.001395019,0.8009635,0.008422284,0.1308304,0.01323792],"study_design_scores_gemma":[0.0008461832,0.0003737916,0.5571803,0.000005275464,0.00002935768,0.00005101155,0.000230085,0.01527641,0.01338192,0.0005727413,0.4115252,0.0005277039],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940934,0.0001807179,0.001511277,0.001477037,0.0001119553,0.00009427535,0.00002671248,0.00002137793,0.002483201],"genre_scores_gemma":[0.9946014,0.00003974614,0.001899707,0.002188736,0.0001906699,0.00000667279,0.0001794783,0.00001124219,0.0008823794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7875816,"threshold_uncertainty_score":0.3082116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007283739092357165,"score_gpt":0.2600429270922892,"score_spread":0.252759187999932,"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."}}