{"id":"W3088835683","doi":"10.1002/ecy.3205","title":"Co‐occurrence history increases ecosystem stability and resilience in experimental plant communities","year":2020,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Ecological stability; Ecosystem; Biodiversity; Ecology; Biomass (ecology); Abiotic component; Plant community; Species richness; Disturbance (geology); Environmental science; Psychological resilience; Grassland; Context (archaeology); Flooding (psychology); Ecosystem diversity; 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":[0.0004945933,0.0002736674,0.0003438818,0.0003798911,0.0004535165,0.0004501795,0.0004728731,0.0003358388,0.001209009],"category_scores_gemma":[0.0009999051,0.0002278849,0.0002522755,0.0001755607,0.0006072524,0.0005267599,0.0009587502,0.0005093674,0.00008219766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005232151,"about_ca_system_score_gemma":0.0003128385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200429,"about_ca_topic_score_gemma":0.003576207,"domain_scores_codex":[0.9996259,0.0001034875,0.00003764359,0.0001292444,0.00004469443,0.00005896273],"domain_scores_gemma":[0.9984888,0.0003426158,0.0004002106,0.0002630845,0.00007797491,0.0004273738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005937143,0.002906777,0.08337694,0.0002005656,0.0003083408,0.0003004829,0.0007648718,0.002105032,0.8958892,0.0003120808,0.0001305302,0.007768183],"study_design_scores_gemma":[0.0004521425,0.01456487,0.8918743,0.0000416628,0.000265865,0.0005536813,0.0007620696,0.01478989,0.07411882,0.001101806,0.001399,0.00007598021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997852,0.00001371694,0.0001116342,0.000006873542,0.000001747638,0.000004855546,0.0000145851,0.0000042658,0.00005705602],"genre_scores_gemma":[0.9991178,0.00002096178,0.0005815901,0.00001997511,0.000003895242,0.0000371573,0.00007714415,0.000004357258,0.0001371074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001209009,"threshold_uncertainty_score":0.004044592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597026672999914,"score_gpt":0.2395613614391482,"score_spread":0.2135910947091491,"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."}}