{"id":"W2105976356","doi":"10.1038/ncomms4409","title":"Social evolution in structured populations","year":2014,"lang":"en","type":"article","venue":"Nature Communications","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":164,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Sociality; Altruism (biology); Fecundity; Competition (biology); Population; Affect (linguistics); Social system; Biology; Ecology; Demography; Computer science; Psychology; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007048242,0.00006089254,0.00007841692,0.0001111961,0.001436061,0.00003420056,0.0005575151,0.0002683571,0.00004957996],"category_scores_gemma":[0.000498747,0.00006827003,0.00003682107,0.0005716108,0.0002433068,0.0002541255,0.00006645535,0.0005239379,0.00002642183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002092574,"about_ca_system_score_gemma":0.00009990075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003512785,"about_ca_topic_score_gemma":0.05446172,"domain_scores_codex":[0.9985254,0.0008781316,0.000160396,0.0001105028,0.0001734299,0.0001521704],"domain_scores_gemma":[0.9992049,0.0001393762,0.00005747989,0.0004322293,0.0001305514,0.00003551893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00000367183,0.00003438036,0.009905246,6.336682e-7,0.000001688006,2.446938e-8,0.00202175,0.00004067848,0.00008375668,0.9859955,0.0007135473,0.001199098],"study_design_scores_gemma":[0.0002631018,0.0000113202,0.5408596,0.000009580779,0.00001203919,5.754168e-7,0.001530585,0.001430122,0.000005333859,0.3031991,0.1525053,0.000173397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3482666,0.00384212,0.008105675,0.127022,0.001348601,0.001299238,0.00003609754,0.0007169505,0.5093627],"genre_scores_gemma":[0.9971494,0.00003112084,0.001883513,0.0002288133,0.0002004279,0.00002780313,0.00008589619,0.00000584339,0.0003871752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6827965,"threshold_uncertainty_score":0.9998639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03380366151454373,"score_gpt":0.3694493439560035,"score_spread":0.3356456824414598,"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."}}