{"id":"W3204364340","doi":"10.1002/ecm.1484","title":"Multi‐trophic metacommunity interactions mediate asynchrony and stability in fluctuating environments","year":2021,"lang":"en","type":"article","venue":"Ecological Monographs","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; McGill University; University of British Columbia; University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Metacommunity; Trophic level; Ecology; Metapopulation; Biology; Food web; Microcosm; Community; Trophic cascade; Mesopredator release hypothesis; Environmental change; Population; Ecosystem; Climate change; Biological dispersal; Apex predator","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003299146,0.0001407396,0.0002268767,0.00002924836,0.0003148373,0.00001412153,0.000122444,0.00009751823,0.005048492],"category_scores_gemma":[0.0002399225,0.0001192793,0.00006563083,0.0002305273,0.0005350856,0.0001559586,0.0006461036,0.0004078267,0.00009787195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123394,"about_ca_system_score_gemma":0.000004634627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007707073,"about_ca_topic_score_gemma":0.004624383,"domain_scores_codex":[0.9986885,0.0003289653,0.0002530342,0.0003464962,0.00009755202,0.0002854156],"domain_scores_gemma":[0.9993874,0.0002841278,0.00006168268,0.0001786874,0.000003520577,0.00008455723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001028596,0.0006380932,0.9859741,0.00000168562,0.00001250334,0.0000340401,0.0003091367,0.00002575403,0.01152543,0.000009552231,0.00002139011,0.001438067],"study_design_scores_gemma":[0.0003066948,0.0000975229,0.9971976,0.000002493532,0.00002097056,0.00000588398,0.0006652285,0.00039841,0.0004904527,0.0003197229,0.0003679939,0.0001270504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986158,0.000122159,0.00004166702,0.000249745,0.00008322513,0.0001398163,0.000006983261,0.00002292912,0.0007176803],"genre_scores_gemma":[0.9948849,0.0002558025,0.004556978,0.0001723127,0.000005759,0.00006645741,0.000007545671,0.000004768713,0.00004546567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01122351,"threshold_uncertainty_score":0.9958611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04050120246447392,"score_gpt":0.28008117079622,"score_spread":0.2395799683317461,"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."}}