{"id":"W2911344628","doi":"10.1111/geb.12869","title":"Global trade‐offs of functional redundancy and functional dispersion for birds and mammals","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Environment Research Council; University of Southampton","keywords":"Species richness; Biology; Taxon; Ecology; Mammal; Null model; Functional diversity; Trait; Redundancy (engineering); Biodiversity; Computer science","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":[0.0001442654,0.0001122108,0.0001699297,0.00002956567,0.0002023204,0.000007096632,0.00003429328,0.0001489961,0.0001641477],"category_scores_gemma":[0.00001575987,0.00009808494,0.00005658949,0.0001818106,0.0006628142,0.00009186831,0.00009905569,0.00003823979,0.000007315044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002320657,"about_ca_system_score_gemma":0.000007938195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003236057,"about_ca_topic_score_gemma":0.000712879,"domain_scores_codex":[0.9992644,0.00002923454,0.0001506013,0.0003007163,0.00007141328,0.0001837029],"domain_scores_gemma":[0.9997185,0.00008266647,0.00007095577,0.00005766607,0.00001028076,0.00005994921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001514646,0.00005530963,0.9897213,0.00001995424,0.00006334928,4.563224e-7,0.00001255556,0.00003061617,0.0001299142,0.007556173,0.0009832621,0.001275642],"study_design_scores_gemma":[0.0008056745,0.0003525673,0.9847098,0.000003672777,0.00004215583,0.00002745279,0.00006577537,0.0002644933,0.000004648262,0.01218027,0.001443534,0.00009992934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959955,0.0006981312,0.0001356055,0.001004469,0.0003252095,0.0002390085,0.0001983038,0.00001408653,0.001389708],"genre_scores_gemma":[0.9988905,0.0003013965,0.0003685496,0.0003351868,0.00001662234,0.00001602022,0.00002891586,0.000002146424,0.00004072909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005011478,"threshold_uncertainty_score":0.3999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005647671475280742,"score_gpt":0.2055575175549081,"score_spread":0.1999098460796273,"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."}}