{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00177446,0.0003768135,0.0004953921,0.002428577,0.0003582532,0.0008030242,0.000353082,0.0002424665,0.002178684],"category_scores_gemma":[0.004425925,0.0001630914,0.0007087998,0.001779688,0.0009650063,0.0007764624,0.001074895,0.0003641229,0.0001140876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003084374,"about_ca_system_score_gemma":0.0001392291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411698,"about_ca_topic_score_gemma":0.002282589,"domain_scores_codex":[0.9987872,0.0004905,0.00008499252,0.0004168798,0.0001336701,0.00008668018],"domain_scores_gemma":[0.9949968,0.002639745,0.001300523,0.0006484104,0.0002169777,0.0001976784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002058405,0.00002085822,0.9697852,0.0001020013,0.0009564692,0.00009588066,0.000298471,0.003431008,0.01020734,0.0008489215,0.000140178,0.01390771],"study_design_scores_gemma":[0.00000425343,0.00005301343,0.9943302,0.000009179956,0.0000779331,0.0001106729,0.0001700181,0.003799067,0.0005166591,0.0007463192,0.0001752291,0.000007509137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972582,0.0001596578,0.001910736,0.00002641966,0.000001508845,0.000002914241,0.0002261183,0.00001436053,0.0003999055],"genre_scores_gemma":[0.9989552,0.00002190841,0.0007789785,0.000006237595,0.000003288618,0.000004093633,0.0001884743,0.000003536773,0.00003828482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002428577,"threshold_uncertainty_score":0.009384334,"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."}}