{"id":"W4385147595","doi":"10.1093/evlett/qrad032","title":"Equilibria and oscillations in cheat–cooperator dynamics","year":2023,"lang":"en","type":"article","venue":"Evolution Letters","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cheating; Population; Statistical physics; Dynamics (music); Oscillation (cell signaling); Stochastic dynamics; Selection (genetic algorithm); Econometrics; Economics; Computer science; Biology; Evolutionary biology; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006810884,0.0001763196,0.0003390709,0.0007266655,0.0005219748,0.0008334936,0.0004402754,0.0005889231,0.001974985],"category_scores_gemma":[0.005507992,0.0002134279,0.0003387903,0.0002793691,0.001453815,0.001226554,0.0008623954,0.0005606423,0.0002233341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000792299,"about_ca_system_score_gemma":0.0003188082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232563,"about_ca_topic_score_gemma":0.0006394382,"domain_scores_codex":[0.9997566,0.00007793599,0.00001361753,0.00006848492,0.00004155484,0.00004181443],"domain_scores_gemma":[0.9980039,0.0009719593,0.0005578364,0.0001721592,0.000128802,0.000165233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004038675,0.0002478086,0.08198086,0.0002746276,0.0002093791,0.001242459,0.002844267,0.2297516,0.1199041,0.5214013,0.00362493,0.03811473],"study_design_scores_gemma":[0.00007182627,0.0001375482,0.03064707,0.00003469673,0.00004872428,0.0005189634,0.0004323885,0.6707383,0.006409003,0.2880826,0.002795449,0.00008342967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495491,0.0002553439,0.0428415,0.0006128541,0.00001532852,0.00001939641,0.00007535715,0.0001541505,0.006477014],"genre_scores_gemma":[0.9977478,0.00005927198,0.001716706,0.00003075828,0.000004999973,0.0000157024,0.00002179342,0.0000107345,0.0003921365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001974985,"threshold_uncertainty_score":0.006606936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004585496379917724,"score_gpt":0.2264644385576404,"score_spread":0.2218789421777227,"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."}}