{"id":"W3092370366","doi":"10.1007/s10530-020-02374-7","title":"Different refuge types dampen exotic invasion and enhance diversity at the whole ecosystem scale in a heterogeneous river system","year":2020,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Lawrence River Institute of Environmental Sciences; McGill University; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Wetland; Ecology; Abundance (ecology); Biology; Ecosystem; Introduced species; Species diversity; Biodiversity; Goby; Round goby; Metacommunity; Invasive species; Fishery; Fish <Actinopterygii>; Biological dispersal; Population","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":["insufficient_payload"],"category_scores_codex":[0.0001570873,0.0001409511,0.0002123831,0.000009999862,0.0004949106,0.00001136576,0.0002758401,0.0001554388,0.00157343],"category_scores_gemma":[0.00005320855,0.00007606074,0.00004904572,0.0001076838,0.0003037944,0.00005352568,0.001830158,0.0001518998,0.002152221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712255,"about_ca_system_score_gemma":0.000004094065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004503682,"about_ca_topic_score_gemma":0.001409301,"domain_scores_codex":[0.9987941,0.0002657658,0.0001912181,0.0003956606,0.0001180639,0.000235196],"domain_scores_gemma":[0.999495,0.0001305502,0.00006562087,0.0001704558,0.00000388302,0.000134483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000542374,0.0001154047,0.9737419,0.00001764545,0.000008002402,0.00006246608,0.0006352898,0.00007587472,0.02421409,0.00007525778,0.0006488053,0.0003509555],"study_design_scores_gemma":[0.0004257264,0.0003903757,0.9887319,0.00005139202,0.00003958576,0.00004384395,0.0002721164,0.001897918,0.006274257,0.0001192618,0.001466718,0.0002869099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985561,0.00005098707,0.00002863764,0.0006650368,0.0000724793,0.0003667067,0.00002161691,0.00003890391,0.0001995774],"genre_scores_gemma":[0.9991362,0.00002582482,0.00004200397,0.0005717078,0.00001874001,0.00002593889,0.00001116738,0.000004243012,0.0001641527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01793983,"threshold_uncertainty_score":0.9993393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150078377490356,"score_gpt":0.2286032163971654,"score_spread":0.1135953786481298,"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."}}