{"id":"W2883632784","doi":"10.1002/evl3.69","title":"Modeling relatedness and demography in social evolution","year":2018,"lang":"en","type":"article","venue":"Evolution Letters","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Environment Research Council; Engineering and Physical Sciences Research Council","keywords":"Exploit; Computer science; Social evolution; Field (mathematics); Econometrics; Mathematics; Evolutionary biology; Biology","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":[0.001589354,0.00035965,0.0005466916,0.001049075,0.0005963967,0.001320797,0.0007199167,0.001362639,0.002369142],"category_scores_gemma":[0.007430739,0.0003809582,0.0004621392,0.001016522,0.001630964,0.003208396,0.001716422,0.001044707,0.000272501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604767,"about_ca_system_score_gemma":0.0004878411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006050742,"about_ca_topic_score_gemma":0.004841937,"domain_scores_codex":[0.9992605,0.0005453942,0.00001797198,0.00008030691,0.00004055885,0.00005529218],"domain_scores_gemma":[0.9971481,0.001883142,0.0005071245,0.0001814249,0.0001040622,0.0001762867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002724254,0.00005040298,0.01417658,0.00004336564,0.00005616975,0.0001834511,0.0005965603,0.6373796,0.0007360984,0.3389624,0.0005071338,0.007280905],"study_design_scores_gemma":[0.00001638821,0.00004791898,0.006898569,0.00003253446,0.00002780734,0.0001165484,0.000286649,0.6983118,0.0001308024,0.2914441,0.00266046,0.00002646239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6481221,0.0005592121,0.3209976,0.002900326,0.00003514937,0.00007902223,0.000240511,0.00011143,0.02695464],"genre_scores_gemma":[0.9893076,0.0002249851,0.008614454,0.00008384181,0.00001273505,0.00003270869,0.00003725289,0.00001070904,0.00167578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006050742,"threshold_uncertainty_score":0.01203102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365830800389574,"score_gpt":0.2715842103954069,"score_spread":0.2579259023915112,"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."}}