{"id":"W747485712","doi":"10.1007/s13364-015-0231-3","title":"The interplay between clumped resources, social aggregation, and genetic relatedness in the raccoon","year":2015,"lang":"en","type":"article","venue":"Mammal Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"National Science Foundation","keywords":"Biology; Population; Ecology; Zoology; Demography","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":[0.003352332,0.00005095318,0.00005488475,0.00003175577,0.0005518342,0.00008132968,0.0003556887,0.00008800208,0.00005106122],"category_scores_gemma":[0.0005184467,0.00003112856,0.00001103156,0.0003586184,0.0005355781,0.00008658745,0.0002389084,0.000402212,0.0002005616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009858692,"about_ca_system_score_gemma":0.00002653477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000591205,"about_ca_topic_score_gemma":0.001626376,"domain_scores_codex":[0.9981439,0.0008385768,0.0001390066,0.0001612405,0.0004442992,0.0002729371],"domain_scores_gemma":[0.9991458,0.0006189882,0.0000283621,0.0001395217,0.00002141495,0.00004588261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005073077,0.00001058594,0.9592151,0.000001038994,0.00000269348,0.000008252642,0.003934713,0.000008716084,0.000009709512,0.0001020052,0.008425325,0.02823113],"study_design_scores_gemma":[0.0002262321,0.00005785212,0.9721709,0.000003282644,0.000002131873,0.000003900078,0.001243828,0.0002536857,0.000008352323,0.003443151,0.02254732,0.00003937287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849142,0.00006408854,0.00001112196,0.01126532,0.00003130798,0.00021091,7.324628e-7,0.000006681415,0.003495599],"genre_scores_gemma":[0.9986176,0.00001449734,0.00002054758,0.0001425604,0.00009191989,0.0000401628,0.000002395489,0.000004644162,0.001065649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02819175,"threshold_uncertainty_score":0.4244319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05830397578661748,"score_gpt":0.3490016146437235,"score_spread":0.290697638857106,"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."}}