{"id":"W1970207130","doi":"10.1007/s00285-003-0217-7","title":"Evolutionarily stable sets in the single-locus frequency-dependent model of natural selection","year":2003,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Locus (genetics); Natural selection; Frequency-dependent selection; Stability (learning theory); Mathematics; Evolutionarily stable strategy; Population; Selection (genetic algorithm); Allele frequency; Biology; Mathematical economics; Allele; Computer science; Genetics; Game theory; Artificial intelligence","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":[0.002171695,0.0006769329,0.001943055,0.001667718,0.001336846,0.003250955,0.002924361,0.001787495,0.003573466],"category_scores_gemma":[0.01061685,0.0007251764,0.001350417,0.0009132113,0.002638325,0.002987573,0.002186519,0.001794032,0.0004756552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134028,"about_ca_system_score_gemma":0.001090243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003173871,"about_ca_topic_score_gemma":0.00170028,"domain_scores_codex":[0.9989785,0.0004203963,0.00003518656,0.0001465101,0.0002684134,0.0001510789],"domain_scores_gemma":[0.9934852,0.004629818,0.0006794432,0.0003440091,0.0004495694,0.0004120638],"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":[0.0000790288,0.00005174207,0.001004685,0.00005135024,0.0001093644,0.0002362383,0.0002594892,0.2134792,0.0012826,0.7783995,0.001099713,0.003947105],"study_design_scores_gemma":[0.00004612615,0.00002331074,0.0005098753,0.0000125797,0.00001972675,0.000101321,0.00004866408,0.5627792,0.0001781777,0.4358397,0.0004104723,0.00003073402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5817784,0.0005207083,0.3903379,0.002670914,0.00009642934,0.00008210886,0.0004204639,0.0003022612,0.02379077],"genre_scores_gemma":[0.9789029,0.0003002727,0.01275002,0.0001636771,0.00006462869,0.0001303903,0.0001641538,0.00005984243,0.007463983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003573466,"threshold_uncertainty_score":0.0154835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156540789939047,"score_gpt":0.2629025552785563,"score_spread":0.2472484762846516,"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."}}