{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006581054,0.0000913093,0.0002160788,0.00003887935,0.0003231857,0.000009870691,0.00009486709,0.0001341417,0.0001355701],"category_scores_gemma":[0.0003665811,0.0000837574,0.00001354696,0.0001543193,0.0008500865,0.0001242839,0.0001728293,0.0002583355,0.0001315277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642767,"about_ca_system_score_gemma":0.000006985613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001795994,"about_ca_topic_score_gemma":0.01959606,"domain_scores_codex":[0.9988459,0.0004499284,0.0002171604,0.0002408126,0.00005725337,0.0001889495],"domain_scores_gemma":[0.9988108,0.000913421,0.0001157432,0.0001114074,0.0000149675,0.00003362325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008482295,0.00002296072,0.9974426,0.000005440873,0.0000103837,0.000001963655,0.0007207129,0.00004897188,0.00001146021,0.001515904,0.0001926253,0.00001851628],"study_design_scores_gemma":[0.0002222509,0.0000593931,0.9909166,0.000003799486,0.000008036211,0.000003144898,0.00121941,0.001366157,0.00000584406,0.005888661,0.0002179016,0.00008876441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896071,0.00002059756,0.00004337114,0.0007198792,0.0003657578,0.000217232,0.000009826967,0.00002148032,0.008994753],"genre_scores_gemma":[0.9984182,0.000004034882,0.0001896945,0.00003669728,0.00006056922,0.00002770577,0.000007023886,0.000004138597,0.001252007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01941646,"threshold_uncertainty_score":0.9982938,"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."}}