{"id":"W2889827568","doi":"10.1002/ecy.2514","title":"Negative relationships between species richness and temporal variability are common but weak in natural systems","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Saint John Regional Hospital; Université de Montréal; University of Guelph; University of New Brunswick","funders":"National Center for Ecological Analysis and Synthesis; Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Ecology; Population; Biology; Species diversity; Body size and species richness; Biodiversity; Community; Geography; Habitat; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004796803,0.0004814294,0.0006389155,0.001575016,0.0007520446,0.00111471,0.0005577147,0.000465473,0.002131928],"category_scores_gemma":[0.0283611,0.0004708958,0.0006059512,0.001477276,0.001705495,0.001725628,0.001143343,0.0006408234,0.0003510698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003732642,"about_ca_system_score_gemma":0.0002779785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003627251,"about_ca_topic_score_gemma":0.00623746,"domain_scores_codex":[0.9973015,0.001013453,0.0002772459,0.0007904832,0.0004870298,0.0001302684],"domain_scores_gemma":[0.9483503,0.03727701,0.008978019,0.00310932,0.001649633,0.000635632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000496611,0.00001811986,0.9897411,0.0000716166,0.0003341191,0.00005702911,0.0002279564,0.001522455,0.001055179,0.0002883654,0.0001103811,0.006523938],"study_design_scores_gemma":[0.000004295614,0.00006060697,0.9898278,0.0000176429,0.00005524794,0.0002461394,0.000277968,0.006159507,0.0004257177,0.002476595,0.0004263027,0.00002228611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881849,0.000627982,0.008017956,0.0001664383,0.00001062057,0.00001234094,0.0005296858,0.00008650393,0.002363597],"genre_scores_gemma":[0.9985871,0.00007540138,0.0008681969,0.00003045155,0.000008351191,0.000008215448,0.0003382739,0.00000949967,0.00007452016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004796803,"threshold_uncertainty_score":0.02536821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087687209962856,"score_gpt":0.2453012357435209,"score_spread":0.2244243636438923,"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."}}