{"id":"W2738172252","doi":"10.7717/peerj.3736","title":"Experimental moose reduction lowers wolf density and stops decline of endangered caribou","year":2017,"lang":"en","type":"article","venue":"PeerJ","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Ministry of Forests; Alberta Biodiversity Monitoring Institute; University of Alberta","funders":"Habitat Conservation Trust Foundation","keywords":"Woodland caribou; Predation; Numerical response; Ecology; Biological dispersal; Population; Endangered species; Geography; Competition (biology); Abundance (ecology); Biology; Habitat; Functional response; Demography; Predator","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":[0.0002930771,0.0004494056,0.0004700889,0.0004771224,0.0004365978,0.0004723609,0.0006409843,0.0004411756,0.001692254],"category_scores_gemma":[0.0005984475,0.0003189517,0.0001944036,0.0002149322,0.000607503,0.0001867877,0.0002933398,0.0007742706,0.0001486876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051772,"about_ca_system_score_gemma":0.0006703809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02265204,"about_ca_topic_score_gemma":0.06075042,"domain_scores_codex":[0.9995807,0.00008653619,0.00003526705,0.000110206,0.00009826054,0.0000890498],"domain_scores_gemma":[0.9991304,0.0001352237,0.0002198557,0.0001019896,0.0001148736,0.0002977333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.05362145,0.08211686,0.0992346,0.0002513604,0.0004663617,0.0003767032,0.001230685,0.001777923,0.7322861,0.0003906987,0.001294109,0.02695316],"study_design_scores_gemma":[0.0024572,0.1277282,0.736113,0.00002887177,0.0003722313,0.0001933084,0.000745318,0.005672367,0.1229133,0.0003519828,0.003360882,0.00006330566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996791,0.00001542833,0.00003478698,0.00001061733,0.000004251044,0.00001663464,0.00003397961,0.00000950566,0.0001956714],"genre_scores_gemma":[0.9972277,0.00004070372,0.0004413955,0.00007661885,0.000008959748,0.0001253268,0.0002132511,0.000007829311,0.001858152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02265204,"threshold_uncertainty_score":0.04504037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525134263429922,"score_gpt":0.2552396728181606,"score_spread":0.2399883301838613,"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."}}