{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275576,0.0001997048,0.0003854658,0.0006906586,0.00038837,0.0008050246,0.0003078651,0.0003270111,0.00111575],"category_scores_gemma":[0.006297886,0.0002586705,0.0004136945,0.0003917617,0.0008966799,0.0009760011,0.0007906767,0.0004154104,0.0001561639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006064204,"about_ca_system_score_gemma":0.0003301987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004399363,"about_ca_topic_score_gemma":0.008847702,"domain_scores_codex":[0.9995024,0.0001639234,0.00004002947,0.0001594524,0.00007394014,0.00006017279],"domain_scores_gemma":[0.9947973,0.002437804,0.001454647,0.0006119953,0.0002371448,0.0004609902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002584436,0.0000772852,0.9422556,0.00007347031,0.0002866117,0.000123723,0.000371517,0.003859377,0.04153138,0.0009626066,0.000125844,0.01007422],"study_design_scores_gemma":[0.000007441421,0.00006559699,0.9814088,0.000005131108,0.0000411747,0.0002019639,0.0002231541,0.01472093,0.001742823,0.001434086,0.000136691,0.00001238573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980049,0.0000369391,0.001509849,0.00003329518,0.000001729574,0.00000431063,0.0000561489,0.000009071986,0.000343678],"genre_scores_gemma":[0.9994501,0.0000170909,0.0004276054,0.00001314338,0.000001912495,0.000003231107,0.00003514548,0.000004670791,0.00004708046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004399363,"threshold_uncertainty_score":0.008747518,"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."}}