{"id":"W2327395107","doi":"10.1038/srep24020","title":"Arctic foxes as ecosystem engineers: increased soil nutrients lead to increased plant productivity on fox dens","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Safety Commission; Churchill Northern Studies Centre; Parks Canada; University of Manitoba","keywords":"Tundra; Vulpes; Arctic fox; Nutrient; Productivity; Arctic; Ecosystem; Nutrient cycle; Environmental science; Ecology; Arctic vegetation; Vegetation (pathology); Biomass (ecology); Agronomy; Biology; Predation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002818005,0.000210319,0.0001084807,0.0002160864,0.0003964291,0.0003518042,0.0001477772,0.0001443748,0.0009588576],"category_scores_gemma":[0.0003924121,0.0001142514,0.0001281629,0.000123348,0.0002729019,0.0002242833,0.0003582468,0.0001494721,0.0001005704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006254501,"about_ca_system_score_gemma":0.0003483465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04552453,"about_ca_topic_score_gemma":0.1911415,"domain_scores_codex":[0.999905,0.00002575684,0.000003588201,0.00002264847,0.00001707771,0.00002602938],"domain_scores_gemma":[0.9997237,0.00004770353,0.00008303965,0.00001960202,0.0000380917,0.00008776417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001492056,0.0000439326,0.9838116,0.00001486421,0.00003923503,0.00009292012,0.0002789304,0.0001352468,0.01234102,0.00007125526,0.00006021493,0.002961757],"study_design_scores_gemma":[0.00000127117,0.00004114039,0.9988964,0.000003010091,0.00001230547,0.00002993961,0.0002646538,0.0001048405,0.0004524951,0.00001400391,0.0001789315,9.643013e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996684,0.00002732172,0.00002299263,0.000008602499,4.915044e-7,9.214452e-7,0.00002169098,6.10124e-7,0.0002490894],"genre_scores_gemma":[0.9993652,0.00006696123,0.0001140594,0.00002088057,0.000001396307,0.000002972105,0.0000704552,8.67453e-7,0.000357158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04552453,"threshold_uncertainty_score":0.09051913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008935591436997375,"score_gpt":0.2006869916703356,"score_spread":0.1917514002333383,"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."}}