{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000421371,0.0001900667,0.00036537,0.0003799399,0.0004218185,0.0008727354,0.0003440803,0.0002636515,0.001011309],"category_scores_gemma":[0.002336265,0.0001817682,0.0002433539,0.000223661,0.0005281679,0.0005626793,0.0009964791,0.0003151117,0.000069703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004660299,"about_ca_system_score_gemma":0.0002581843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485528,"about_ca_topic_score_gemma":0.003289065,"domain_scores_codex":[0.9997328,0.00007748909,0.00002128939,0.0000644996,0.00005142474,0.0000525328],"domain_scores_gemma":[0.9984758,0.0005767724,0.0004707462,0.0001504924,0.0001157669,0.0002103318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007675117,0.0002682353,0.4095658,0.0002206631,0.0003880762,0.0006996139,0.001020494,0.08663968,0.4700744,0.00700703,0.0004983137,0.0228503],"study_design_scores_gemma":[0.00006031636,0.0004632564,0.7006704,0.00002856467,0.0001537151,0.0002839983,0.0009231924,0.26258,0.02319253,0.01040849,0.001162077,0.00007339194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979303,0.00002331244,0.001691666,0.00001504883,0.000001921571,0.00000280975,0.00002156996,0.00001613094,0.0002973183],"genre_scores_gemma":[0.9995407,0.00000677756,0.0003936905,0.00000391651,9.002167e-7,0.000002637681,0.00001194312,0.000003198868,0.00003616518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002485528,"threshold_uncertainty_score":0.004942119,"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."}}