{"id":"W2052025210","doi":"10.1038/srep07600","title":"Social networks in primates: smart and tolerant species have more efficient networks","year":2014,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; National Park Service; University of Texas MD Anderson Cancer Center; Université de Strasbourg; Ministry of Environment; Fondation Fyssen; University of Calgary; Ministry of Education, Culture, Sports, Science and Technology; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Canada Research Chairs; Alberta Innovates; National Science Foundation","keywords":"Centrality; Modularity (biology); Group selection; Social network (sociolinguistics); Cognition; Computer science; Biology; Cognitive psychology; Artificial intelligence; Evolutionary biology; Psychology; Selection (genetic algorithm); Mathematics; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.00205511,0.000212541,0.0003831515,0.0001992465,0.000398625,0.0002014475,0.0001537646,0.0002450139,0.0005009616],"category_scores_gemma":[0.00004301074,0.0001975779,0.00008508826,0.0002974122,0.0005935184,0.0000563669,0.0001611719,0.0002774932,0.00002563148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007619398,"about_ca_system_score_gemma":0.00002979685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007462007,"about_ca_topic_score_gemma":0.000161456,"domain_scores_codex":[0.9972868,0.0001310045,0.0006396411,0.0009344718,0.000244043,0.0007640322],"domain_scores_gemma":[0.998879,0.00006717208,0.000253346,0.0006072291,0.00006743273,0.0001258158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001116838,0.0008138113,0.8801517,0.00003922321,0.00004433639,0.001675321,0.01141937,0.01399543,0.0008777831,0.002945574,0.07417277,0.01375296],"study_design_scores_gemma":[0.0005929411,0.00005775719,0.9368212,0.00002528204,0.00004224167,0.0004642858,0.0008132568,0.03422244,0.00006723012,0.0008111676,0.02564497,0.0004372317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736731,0.0002318503,0.001487851,0.0002365303,0.01043318,0.0003485025,0.000001111483,0.00008561343,0.01350226],"genre_scores_gemma":[0.9957613,0.000002397858,0.00004839281,0.000114997,0.0002239966,0.00005217738,0.00004761816,0.00002332982,0.003725815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05666945,"threshold_uncertainty_score":0.8056993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219007639838806,"score_gpt":0.2986329139575818,"score_spread":0.2764428375591937,"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."}}