{"id":"W2062284070","doi":"10.1111/j.1600-0587.2000.tb00293.x","title":"Recovery of tall cotton–grass following real and simulated feeding by snow geese","year":2000,"lang":"en","type":"article","venue":"Ecography","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; U.S. Geological Survey; Directorate for Biological Sciences","keywords":"Snow; Carex; Forage; Goose; Anatidae; Waterfowl; Agronomy; Biomass (ecology); Biology; Branta; Environmental science; Ecology; Grassland; Scirpus; Habitat; Wetland; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000131792,0.0001303118,0.0001675223,0.0001383811,0.0001440921,0.0001835578,0.0001710547,0.0001541704,0.000368244],"category_scores_gemma":[0.0005076421,0.00007919443,0.0001220758,0.00007610016,0.0001756655,0.00009678867,0.0001920991,0.0001087991,0.00006449508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003735165,"about_ca_system_score_gemma":0.0002082843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03141489,"about_ca_topic_score_gemma":0.09144272,"domain_scores_codex":[0.9999343,0.00001425851,0.00000283428,0.00001118252,0.00001136569,0.00002608778],"domain_scores_gemma":[0.9997998,0.00004278307,0.00005654581,0.00002107085,0.00002296884,0.00005692445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002671024,0.0004613507,0.811842,0.00004890981,0.0002149605,0.0005330567,0.000735632,0.008268673,0.1611469,0.00005284821,0.000221056,0.01380361],"study_design_scores_gemma":[0.000006215412,0.0004520548,0.9924292,0.000002174321,0.00001510258,0.0000637818,0.0002212847,0.004416592,0.002265909,0.00001707807,0.0001057838,0.000004900519],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999412,0.00000308443,0.00001843008,8.961242e-7,1.354502e-7,3.617639e-7,0.00001408799,9.497663e-7,0.00002084731],"genre_scores_gemma":[0.9997966,0.000005051761,0.00003888801,0.0000019023,2.101348e-7,0.000001314283,0.00008886481,7.229868e-7,0.00006654974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03141489,"threshold_uncertainty_score":0.06246406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003268513387686355,"score_gpt":0.1897588456042358,"score_spread":0.1864903322165495,"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."}}