{"id":"W4307047970","doi":"10.1111/oik.09735","title":"Environmental drivers of local abundance–mass scaling in soil animal communities","year":2022,"lang":"en","type":"article","venue":"Oikos","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Gottfried Wilhelm Leibniz Universität Hannover; Deutsche Forschungsgemeinschaft; European Commission; Biodiversa+","keywords":"Edaphic; Abundance (ecology); Ecology; Environmental science; Range (aeronautics); Plant community; Community structure; Precipitation; Pooling; Geography; Soil water; Biology; Species richness","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007037018,0.0001055414,0.0002484558,0.0007892121,0.0003057034,0.0006289426,0.0002065536,0.0001875095,0.001321049],"category_scores_gemma":[0.003311958,0.0001395533,0.000281883,0.0007594183,0.0009124989,0.0005044487,0.0006196092,0.0002072952,0.000105669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003709072,"about_ca_system_score_gemma":0.0002164782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006622192,"about_ca_topic_score_gemma":0.01324885,"domain_scores_codex":[0.9995765,0.0001556629,0.00002698793,0.0001475569,0.00004330079,0.00005010287],"domain_scores_gemma":[0.9984871,0.0006201686,0.0004826075,0.0001806716,0.0001012675,0.0001280604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003842546,0.00002128432,0.9871569,0.00003072311,0.0001286712,0.00007054871,0.0006905106,0.00212106,0.003255104,0.0008375829,0.0001000033,0.005549067],"study_design_scores_gemma":[0.000001894419,0.000008762571,0.9960638,0.000003348238,0.000009631092,0.00002932088,0.000346265,0.00272331,0.00008352151,0.0005993287,0.0001272995,0.000003692367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991185,0.0000413217,0.000429606,0.00001553297,6.236303e-7,0.000002420158,0.00006654776,0.000005463864,0.0003199604],"genre_scores_gemma":[0.9997719,0.00001305782,0.0001270181,0.00000325528,9.101601e-7,0.000001973407,0.00005232226,0.000001623997,0.00002785277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006622192,"threshold_uncertainty_score":0.01316732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007231216118778037,"score_gpt":0.2024517929912887,"score_spread":0.1952205768725107,"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."}}