{"id":"W2766011853","doi":"10.1111/jeb.13195","title":"Social traits, social networks and evolutionary biology","year":2017,"lang":"en","type":"review","venue":"Journal of Evolutionary Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Trait; Social connectedness; Social network (sociolinguistics); Heritability; Evolutionary biology; Social evolution; Natural selection; Context (archaeology); Population; Social environment; Inclusive fitness; Selection (genetic algorithm); Genetics; Social psychology; Computer science; Psychology; Sociology; Machine learning","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":[0.0009992255,0.0006455234,0.0007420813,0.001975879,0.0009587178,0.002667316,0.0006901306,0.001938525,0.003467049],"category_scores_gemma":[0.002524727,0.0001770714,0.0003397088,0.002132247,0.005262337,0.00358008,0.00148274,0.001594234,0.000680315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687143,"about_ca_system_score_gemma":0.0007411696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003229163,"about_ca_topic_score_gemma":0.002401301,"domain_scores_codex":[0.9992023,0.0003783594,0.00003621725,0.0001803189,0.0001363356,0.00006638256],"domain_scores_gemma":[0.9983406,0.001066915,0.0002631275,0.00006572174,0.0001347709,0.0001288749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002470391,0.000027058,0.006386609,0.000948729,0.0001081978,0.0003018469,0.00163963,0.004887431,0.0009610789,0.8395153,0.01094914,0.1342503],"study_design_scores_gemma":[0.000005261862,0.00003838452,0.01193638,0.0004562894,0.00003444999,0.000483939,0.001027294,0.002862251,0.0001782499,0.8269067,0.1560259,0.00004506957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07869289,0.5964242,0.1087332,0.05105701,0.002220785,0.0001439226,0.0009148428,0.000394452,0.1614187],"genre_scores_gemma":[0.6979042,0.2495852,0.02704921,0.004930567,0.002878067,0.0001929001,0.000611601,0.00008166759,0.01676659],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003467049,"threshold_uncertainty_score":0.01224113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1747569541626849,"score_gpt":0.3417796832141631,"score_spread":0.1670227290514782,"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."}}