{"id":"W4413993278","doi":"10.1038/s41559-025-02843-z","title":"Density-dependent network structuring within and across wild animal systems","year":2025,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University; University of Guelph; University of British Columbia, Okanagan Campus; Memorial University of Newfoundland","funders":"Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Wissenschaftskolleg zu Berlin; Agence Nationale de la Recherche; Edward Mallinckrodt, Jr. Foundation; National Science Foundation","keywords":"Structuring; Computer science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000241909,0.000118207,0.0001881763,0.000007731161,0.0006242267,0.00004437431,0.0001026836,0.0003784304,0.00000602346],"category_scores_gemma":[0.00004890489,0.00005025939,0.00003105125,0.0001674033,0.0000715491,0.00006722136,0.0001487729,0.0003751789,0.000004671015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006740323,"about_ca_system_score_gemma":0.000006769517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115328,"about_ca_topic_score_gemma":0.01344974,"domain_scores_codex":[0.9991238,0.00006257652,0.000146881,0.0002730781,0.00008678977,0.0003068955],"domain_scores_gemma":[0.9997023,0.0001243224,0.00007056886,0.00001760121,0.00005089463,0.0000343274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001084074,0.00001610765,0.9604191,0.00001308966,0.00004508339,0.000007999621,0.00004769886,0.00007157798,0.0300985,0.006744971,0.002001813,0.0004256733],"study_design_scores_gemma":[0.0001065194,0.0001048327,0.9970588,0.00002359877,0.00001292527,0.00002381116,0.0003243132,0.0002099497,0.0001489704,0.0008633466,0.001026473,0.00009643712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947366,0.003516661,0.000002558048,0.0005559375,0.0006571939,0.000150124,0.00002807742,0.00006777076,0.0002850979],"genre_scores_gemma":[0.9990225,0.00005200905,0.00001773029,0.0001501292,0.0004293704,0.000007500286,0.00001276582,4.643263e-7,0.0003074605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03663974,"threshold_uncertainty_score":0.750527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00868580576781479,"score_gpt":0.2175204039642663,"score_spread":0.2088345981964515,"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."}}