{"id":"W2128482604","doi":"10.1111/j.1365-2699.2009.02128.x","title":"Effects of woody plant species richness on mammal species richness in southern Africa","year":2009,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Species richness; Ecology; Mammal; Body size and species richness; Macroecology; Habitat; Geography; Woody plant; Spatial heterogeneity; Fossorial; Quadrat; Biology","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":[0.0004942484,0.0003152926,0.0002400084,0.0006448725,0.0002097365,0.0003614599,0.0001756369,0.0001324706,0.001493403],"category_scores_gemma":[0.002564844,0.0002128839,0.0003168293,0.0007179418,0.0003926251,0.000277931,0.0004577656,0.0001586022,0.0001023866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002217711,"about_ca_system_score_gemma":0.0001742728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01949624,"about_ca_topic_score_gemma":0.03415316,"domain_scores_codex":[0.9995797,0.0002192018,0.00001774364,0.00007955424,0.00003668848,0.000067075],"domain_scores_gemma":[0.9987291,0.0005104612,0.0004856707,0.00006650621,0.00007203899,0.0001363209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006529096,0.000009457432,0.9948263,0.00001921914,0.000156097,0.000143811,0.0002317051,0.0004037214,0.001220463,0.00003876519,0.00004451743,0.002840656],"study_design_scores_gemma":[0.000001308873,0.00001230895,0.9994172,0.000005412606,0.00001507848,0.00003392597,0.0001412845,0.0002648382,0.0000362294,0.00001395798,0.00005720661,0.000001205501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996118,0.0001220705,0.00004694043,0.00001879687,9.318222e-7,9.292636e-7,0.00008238044,0.00000205714,0.0001141653],"genre_scores_gemma":[0.9998461,0.00004250131,0.00003923706,0.000002851111,0.000001311399,0.000001161951,0.00003799202,7.69945e-7,0.00002804585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01949624,"threshold_uncertainty_score":0.03876549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005953299716157297,"score_gpt":0.1914846850750317,"score_spread":0.1855313853588744,"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."}}