{"id":"W4400090125","doi":"10.1111/ddi.13900","title":"Climate, food and humans predict communities of mammals in the United States","year":2024,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Thelma Doelger Trust for Animals; National Institute of Food and Agriculture; North Carolina State University; U.S. Fish and Wildlife Service; Directorate for Biological Sciences; National Energy Technology Laboratory; Noble Research Institute","keywords":"Ecology; Abundance (ecology); Mammal; Habitat; Geography; Climate change; Macroecology; Relative species abundance; Population; Herbivore; Species distribution; Ecosystem; Species richness; 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":[0.0003937492,0.0001645414,0.0001564493,0.0006560364,0.0002647942,0.0004287666,0.0002203978,0.0002100112,0.001328664],"category_scores_gemma":[0.00095568,0.0001845259,0.0002533273,0.0006149532,0.000207912,0.0002687592,0.0005033639,0.000238943,0.0001707111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427378,"about_ca_system_score_gemma":0.0001442343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02262178,"about_ca_topic_score_gemma":0.03859788,"domain_scores_codex":[0.999859,0.00004930306,0.00001080012,0.00004490748,0.00001734216,0.00001864436],"domain_scores_gemma":[0.9991845,0.0001526765,0.0003692473,0.00005066851,0.00009074506,0.0001521132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001129423,0.000007816961,0.9988465,0.000003077552,0.00003940037,0.00001199895,0.00004594125,0.0001606631,0.00008142113,0.0000153724,0.000155567,0.0006208337],"study_design_scores_gemma":[0.000001299797,0.000007352335,0.9989279,0.000005170547,0.000007917832,0.0000229024,0.0001428158,0.0007138636,0.0000154941,0.00002914257,0.0001248655,0.000001147293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989716,0.0001337252,0.0001024261,0.00005484728,0.000003729899,0.000001752709,0.0005077813,0.000003122013,0.0002211003],"genre_scores_gemma":[0.9992261,0.00005246703,0.00009552547,0.00001491249,0.000004621083,0.000003863192,0.000534677,0.000001174702,0.00006653043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02262178,"threshold_uncertainty_score":0.04498023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127589268318986,"score_gpt":0.2387916953837479,"score_spread":0.197515802700558,"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."}}