{"id":"W3137621289","doi":"10.1101/2021.03.21.436334","title":"Origin of diversity in spatial social dilemmas","year":2021,"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","keywords":"Diversification (marketing strategy); Evolutionary dynamics; Population; Trait; Fitness landscape; Evolutionary biology; Biology; Diversity (politics); Adaptive evolution; Computer science; Genetics; Sociology","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":[0.001257631,0.0002452465,0.0005175321,0.0008721843,0.0008861561,0.001917495,0.0006467202,0.001068685,0.001586711],"category_scores_gemma":[0.005790118,0.0002755845,0.0005380341,0.0003242522,0.003065088,0.00214337,0.001955273,0.0008468077,0.0001352719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047114,"about_ca_system_score_gemma":0.0003992774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005607877,"about_ca_topic_score_gemma":0.0003532727,"domain_scores_codex":[0.9992022,0.0004296781,0.00002769037,0.0001002633,0.0001467875,0.0000935011],"domain_scores_gemma":[0.9978353,0.001166385,0.0003854522,0.0001580969,0.0001682867,0.0002865166],"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":[0.00006927973,0.00003953004,0.005923176,0.0001242448,0.00008208408,0.0005407931,0.001304348,0.09484444,0.006709515,0.8781012,0.0009352727,0.01132607],"study_design_scores_gemma":[0.00003263548,0.00003443531,0.002140712,0.00003737646,0.00001077393,0.0003619545,0.0003318734,0.1623029,0.000576518,0.8326598,0.001484042,0.00002698053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8213573,0.001327234,0.1505967,0.002414515,0.00005369353,0.00004804193,0.00007501084,0.0001133596,0.02401429],"genre_scores_gemma":[0.9946684,0.0001218104,0.004463471,0.00004543884,0.00001520105,0.00002361317,0.00001101675,0.000009823316,0.0006412382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001917495,"threshold_uncertainty_score":0.007597446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479157728398069,"score_gpt":0.2653725084027904,"score_spread":0.2305809311188097,"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."}}