{"id":"W2165316090","doi":"10.1111/ele.12424","title":"Abundance of common species, not species richness, drives delivery of a real‐world ecosystem service","year":2015,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":645,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"U.S. Department of Agriculture","keywords":"Species richness; Abundance (ecology); Ecosystem; Ecosystem services; Ecology; Relative abundance distribution; Biodiversity; Body size and species richness; Ecosystem engineer; Context (archaeology); Rank abundance curve; Macroecology; Generality; Biology; Geography; Relative species abundance","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":[0.0001664079,0.0001291022,0.0003875948,0.00002160838,0.00008979883,0.000009508937,0.0002956813,0.00005385944,0.00009159272],"category_scores_gemma":[0.0000155956,0.00005670462,0.00007017122,0.0002971876,0.000110713,0.00007545677,0.0001311175,0.00008083697,0.00002904581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004115816,"about_ca_system_score_gemma":0.000008317035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000606594,"about_ca_topic_score_gemma":0.1419529,"domain_scores_codex":[0.9990617,0.00008054369,0.0002864544,0.0001890238,0.0001492442,0.0002330137],"domain_scores_gemma":[0.9993112,0.0002877036,0.0002228478,0.0000362726,0.00008959819,0.00005234176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008330293,0.00008468165,0.6076645,0.00002955693,0.00005219757,0.00001466459,0.0002026672,0.00001244564,0.3803666,0.0003840718,0.01098654,0.0001188028],"study_design_scores_gemma":[0.0001499704,0.0001475949,0.9713265,0.00002683128,0.00001868099,0.000003356882,0.0004504226,0.00001640262,0.006883862,0.00002589093,0.02082958,0.0001208651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98913,0.00007000937,1.724043e-7,0.007204738,0.0001526126,0.0001092624,0.0001415664,0.00003037972,0.003161279],"genre_scores_gemma":[0.9983472,0.00009357111,0.00003790125,0.000980747,0.0001796342,0.000005149153,0.00002131121,8.624681e-7,0.0003336617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3734827,"threshold_uncertainty_score":0.8737042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05352245770024166,"score_gpt":0.2066351717790977,"score_spread":0.1531127140788561,"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."}}