{"id":"W1964404707","doi":"10.1007/s00442-006-0504-2","title":"Divergent nonlinear responses of the boreal forest field layer along an experimental gradient of deer densities","year":2006,"lang":"en","type":"article","venue":"Oecologia","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":137,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Wildlife; Center for Northern Studies; Université Laval; Natural Sciences and Engineering Research Council","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Taiga; Ecology; Boreal; Field (mathematics); Atmospheric sciences","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":[0.0002956455,0.0002740528,0.0003256552,0.000185711,0.0003516154,0.0005515776,0.0002579636,0.0003378287,0.001479456],"category_scores_gemma":[0.001670019,0.000271248,0.0001826626,0.0001329724,0.0007174313,0.0003840312,0.0006621492,0.0006647073,0.0001523466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921641,"about_ca_system_score_gemma":0.0003321657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007727976,"about_ca_topic_score_gemma":0.008486968,"domain_scores_codex":[0.9997674,0.00006032171,0.00001195945,0.00007847801,0.00002923718,0.00005271337],"domain_scores_gemma":[0.9988545,0.0004800119,0.0001217574,0.0001837299,0.0001421143,0.0002177803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02046673,0.001278751,0.1128713,0.00005234663,0.0001150186,0.00006544434,0.001237292,0.00216383,0.8532655,0.000508842,0.0004696526,0.007505295],"study_design_scores_gemma":[0.0001114081,0.001679607,0.9630522,0.000006394282,0.00005739294,0.00007766908,0.0005436119,0.004908648,0.02882739,0.0002165466,0.0004862232,0.00003291245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999612,0.000007814317,0.0000989085,0.000005995309,0.000003821178,0.000002828102,0.00004773775,0.000004442336,0.0002164373],"genre_scores_gemma":[0.9991861,0.000007608654,0.0001185877,0.00001587882,0.000003034545,0.00001234594,0.0001122838,0.000008967887,0.0005353354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007727976,"threshold_uncertainty_score":0.01536602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356537298484575,"score_gpt":0.2355583115275842,"score_spread":0.2219929385427384,"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."}}