{"id":"W2182417828","doi":"10.1093/czoolo/60.2.189","title":"Fading indirect effects in a warming arctic tundra","year":2014,"lang":"en","type":"article","venue":"Current Zoology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Indigenous and Northern Affairs Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; ArcticNet; Canada Research Chairs; Parks Canada; Université du Québec à Rimouski; Natural Resources Canada; Université Laval","keywords":"Tundra; Grazing; Goose; Herbivore; Ecology; Trophic cascade; Waterfowl; Trophic level; Global warming; Abundance (ecology); Arctic; Predation; Environmental science; Climate change; Wetland; Biomass (ecology); Biology; Food web; Habitat","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":[0.0003958666,0.0002712358,0.0002663542,0.000505412,0.0003181821,0.0004851228,0.0001233675,0.0001765267,0.001229523],"category_scores_gemma":[0.0006583023,0.00008759058,0.000310588,0.0003443069,0.0002539914,0.0001798103,0.0004750254,0.0001779951,0.00009151467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005778667,"about_ca_system_score_gemma":0.0001624273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018013,"about_ca_topic_score_gemma":0.03364303,"domain_scores_codex":[0.9998819,0.00003814102,0.00000637935,0.0000284633,0.00001891991,0.00002616444],"domain_scores_gemma":[0.9995778,0.00009096529,0.00013587,0.00004285016,0.00007388249,0.00007861159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002474906,0.00004594521,0.9716248,0.0000362356,0.0002449634,0.0002045552,0.0001724177,0.003071011,0.01766106,0.0001223444,0.00009915444,0.006470058],"study_design_scores_gemma":[0.000001016282,0.00003600246,0.9984342,0.000002064251,0.00001810419,0.00002830982,0.0000499203,0.001011505,0.0002728478,0.00002769821,0.0001157773,0.000002478164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995334,0.00006182907,0.00007671247,0.000005684579,0.000001029044,9.100775e-7,0.00009200125,0.000003281296,0.0002250677],"genre_scores_gemma":[0.9997388,0.00002643683,0.00006458331,0.000003245742,0.000001460865,0.0000012141,0.00008291254,8.142985e-7,0.00008059091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.018013,"threshold_uncertainty_score":0.03581631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196184854693845,"score_gpt":0.2559274984677771,"score_spread":0.2439656499208387,"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."}}