{"id":"W4200331148","doi":"10.1111/ecog.05814","title":"Relics of beavers past: time and population density drive scale‐dependent patterns of ecosystem engineering","year":2021,"lang":"en","type":"article","venue":"Ecography","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Beaver; Ecology; Watershed; Ecosystem; Population; Environmental science; Spatial ecology; Ecosystem engineer; Patch dynamics; Population density; Disturbance (geology); Ecological stability; Hydrology (agriculture); Geography; Biology; Geology; Geomorphology","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":[0.0004213812,0.0001111004,0.0002019782,0.0006426834,0.0002824724,0.0007486127,0.0002725072,0.0002526642,0.001083822],"category_scores_gemma":[0.002521596,0.000192178,0.0001776404,0.0003851611,0.0008066776,0.0004767869,0.0005534189,0.0003039632,0.0001233431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004806797,"about_ca_system_score_gemma":0.0002229903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02223542,"about_ca_topic_score_gemma":0.07432214,"domain_scores_codex":[0.9997502,0.00003972273,0.00001613605,0.0001240185,0.00003295618,0.00003698013],"domain_scores_gemma":[0.9983916,0.000261552,0.0007388844,0.0002440629,0.0001455355,0.0002184051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007315467,0.00003679367,0.9872103,0.0000148626,0.00007146032,0.00006010777,0.0007551347,0.0005846221,0.006165214,0.0001497575,0.0001177594,0.004760831],"study_design_scores_gemma":[6.472314e-7,0.00001493097,0.9989513,0.000002090151,0.000007331823,0.00002715447,0.0001905742,0.0005356207,0.0001009125,0.00006018896,0.0001065326,0.000002723525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993209,0.00006307507,0.0001935636,0.00001710931,0.000001252107,0.000002130575,0.00004170482,0.000005024021,0.0003552584],"genre_scores_gemma":[0.9997367,0.00001960332,0.00007350381,0.000005543643,7.829283e-7,0.000001351585,0.00003381134,0.000001892658,0.0001268445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02223542,"threshold_uncertainty_score":0.04421198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002835069883885737,"score_gpt":0.1513569256447133,"score_spread":0.1485218557608275,"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."}}