{"id":"W2952026898","doi":"10.1101/021378","title":"Stochastic evolutionary games in dynamic populations","year":2015,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Max-Planck-Gesellschaft","keywords":"Mathematical economics; Stochastic dynamics; Computer science; Evolutionary biology; Economics; Biology; Statistical physics; Physics","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":[0.001676037,0.000758227,0.00123108,0.0009798864,0.0006871173,0.00176907,0.001190339,0.001769574,0.003038913],"category_scores_gemma":[0.005520815,0.0003874148,0.0009175364,0.0006213792,0.002383552,0.001693352,0.001548234,0.00135124,0.0002589962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00215999,"about_ca_system_score_gemma":0.001007493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005241725,"about_ca_topic_score_gemma":0.003292782,"domain_scores_codex":[0.9985226,0.0007953899,0.00005827646,0.0001867114,0.0002700542,0.000166958],"domain_scores_gemma":[0.9977678,0.00125177,0.0003443403,0.0001173191,0.0002456856,0.0002730901],"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":[0.00002036127,0.00002663738,0.0003712956,0.00003254629,0.00002811177,0.0001231319,0.0001024297,0.1344353,0.0005708449,0.8614165,0.0009973953,0.001875482],"study_design_scores_gemma":[0.00003162188,0.00002109246,0.0001771912,0.00001003996,0.000007222513,0.0000476976,0.00003874395,0.6185588,0.00008065334,0.3795019,0.00150958,0.0000155467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2013099,0.0008296492,0.7622161,0.003713317,0.0002464009,0.0001739065,0.0004375971,0.0001705305,0.03090258],"genre_scores_gemma":[0.9534363,0.0004440574,0.03179194,0.0003916943,0.0001626785,0.0002913613,0.0001938746,0.0000361551,0.01325205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005241725,"threshold_uncertainty_score":0.01567185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644110152991735,"score_gpt":0.2793195606193142,"score_spread":0.2528784590893969,"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."}}