{"id":"W2795487502","doi":"10.1101/262337","title":"Co-occurrence history increases ecosystem temporal stability and recovery from a flood in experimental plant communities","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"","keywords":"Biodiversity; Ecosystem; Ecological stability; Biomass (ecology); Disturbance (geology); Abiotic component; Context (archaeology); Plant community; Resistance (ecology)","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":[0.0006074266,0.0001836078,0.0002933376,0.0003483096,0.000363693,0.0005062608,0.0004430436,0.0003523289,0.001098298],"category_scores_gemma":[0.0008362322,0.0001951813,0.000231348,0.0001670179,0.0005348067,0.0004004498,0.0007304066,0.0005406804,0.00009245366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004333236,"about_ca_system_score_gemma":0.0002249011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252729,"about_ca_topic_score_gemma":0.002921327,"domain_scores_codex":[0.9996858,0.00008078278,0.00003063137,0.0001086107,0.0000417689,0.00005248326],"domain_scores_gemma":[0.9983928,0.0003981194,0.0005408081,0.0002125596,0.00008417513,0.0003715653],"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":[0.00209839,0.0009765634,0.06700229,0.00009581641,0.0001204544,0.0001291233,0.000365847,0.0007462151,0.9249045,0.0001106917,0.00007674025,0.00337338],"study_design_scores_gemma":[0.0001345227,0.004249215,0.9260925,0.00001801826,0.00009577275,0.0002591866,0.0005104958,0.00896001,0.05876851,0.0003306292,0.0005448566,0.00003634018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998136,0.00001238674,0.0001018313,0.000006499246,0.000001048375,0.000002489614,0.00002084163,0.000003957123,0.00003735421],"genre_scores_gemma":[0.999284,0.00001413959,0.000432458,0.00002249226,0.000002856716,0.00002680228,0.00008975847,0.000003663135,0.0001238895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001252729,"threshold_uncertainty_score":0.003674209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218416486918833,"score_gpt":0.2163329522029228,"score_spread":0.1944913035110395,"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."}}