{"id":"W2258863828","doi":"10.1371/journal.pone.0142929","title":"Effect of Spatial Dispersion on Evolutionary Stability: A Two-Phenotype and Two-Patch Model","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Evolutionary dynamics; Evolutionary game theory; Stability (learning theory); Spatial dispersion; Dispersion (optics); Simple (philosophy); Evolutionarily stable strategy; Statistical physics; Evolutionary biology; Computer science; Game theory; Biological system; Biology; Mathematics; Physics; Mathematical economics; Population; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008010307,0.000525653,0.001343215,0.0006585142,0.0008488937,0.001400555,0.001602999,0.002242438,0.002828691],"category_scores_gemma":[0.003431042,0.0004211762,0.001095665,0.0004671871,0.001901741,0.00223536,0.001665686,0.001075765,0.0003112867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009717562,"about_ca_system_score_gemma":0.0004825962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005989407,"about_ca_topic_score_gemma":0.002615517,"domain_scores_codex":[0.9995821,0.0001661866,0.00001970239,0.00009941127,0.00005748196,0.00007523461],"domain_scores_gemma":[0.9986965,0.0005455529,0.0002396317,0.000169896,0.0001065624,0.0002418926],"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":[0.0002187942,0.0001782309,0.004832252,0.00008429808,0.000131792,0.00120814,0.0003458529,0.8561032,0.01284985,0.1185269,0.0007787213,0.004742],"study_design_scores_gemma":[0.00008258588,0.00006467618,0.001065352,0.000004809744,0.00002724893,0.0001292644,0.00005125967,0.9813297,0.0002259327,0.01670231,0.0002915352,0.00002540887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8732778,0.0003219591,0.1112951,0.001284528,0.00007401558,0.00006377019,0.0001304308,0.00008780745,0.01346453],"genre_scores_gemma":[0.9922343,0.000110986,0.004276122,0.00007007373,0.00001875992,0.00003288891,0.00002594551,0.00001030855,0.003220528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005989407,"threshold_uncertainty_score":0.01190907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310446157003819,"score_gpt":0.250056322717813,"score_spread":0.2269518611477749,"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."}}