{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007265186,0.00005120767,0.0001143633,0.00003176181,0.00004692946,0.000002210932,0.00003829871,0.00004201535,0.00008823782],"category_scores_gemma":[0.000006421236,0.00005220026,0.00004642176,0.00009377958,0.00002783503,0.0000467577,0.0001266465,0.00003681127,0.000011102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001340378,"about_ca_system_score_gemma":9.300326e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001081177,"about_ca_topic_score_gemma":0.0008826263,"domain_scores_codex":[0.9996064,0.0000175378,0.00009701576,0.0001231499,0.00008077198,0.00007511863],"domain_scores_gemma":[0.9998128,0.00002478392,0.0000557991,0.00007369853,0.000009405926,0.00002346279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002999955,0.00002023317,0.9960305,0.00001760585,0.00002300217,0.000003381743,0.0002090524,0.0001571704,0.003367665,0.000003685103,0.00006530296,0.00009938189],"study_design_scores_gemma":[0.0001040984,0.00002601152,0.9951427,0.0000123631,0.00002343338,0.000002762574,0.0001128292,0.000109284,0.004374012,0.000007202725,0.00003531873,0.00004999644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996337,0.00002019037,0.00002795507,0.00004027457,0.00005096923,0.00004517708,0.00003533242,0.000007888309,0.0001385366],"genre_scores_gemma":[0.9995188,0.00003814912,0.0003936603,0.00001327649,0.000005609031,4.927894e-7,0.000009708282,0.00000163434,0.00001871693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001006347,"threshold_uncertainty_score":0.2128665,"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."}}