{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001368666,0.00005221337,0.00007919214,0.000009284274,0.0002259411,0.00001369624,0.00009533801,0.00004935253,0.0002975699],"category_scores_gemma":[0.0000530849,0.00005274491,0.00001885773,0.00001527899,0.0002738951,0.0001880663,0.0001467928,0.00004610743,0.00002443999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004242659,"about_ca_system_score_gemma":0.000005166924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000996792,"about_ca_topic_score_gemma":0.0002323404,"domain_scores_codex":[0.9995778,0.00001710453,0.00008614507,0.0001423616,0.00009158043,0.00008500753],"domain_scores_gemma":[0.9996556,0.00001050757,0.00009089467,0.0002001859,0.000006005615,0.00003680772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000472907,0.00005916844,0.9129673,0.000002114829,0.000006518197,0.000002655272,0.0005474497,0.00001298886,0.08189227,0.0000423994,0.001319313,0.003100552],"study_design_scores_gemma":[0.0002333992,0.00003872351,0.9224319,0.000002220468,0.00000727937,0.000009051326,0.0001186214,0.0001654698,0.07635546,0.0001912514,0.0003945468,0.00005209398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975662,0.00002186172,0.00004075349,0.00100094,0.0002092413,0.00007070186,0.00000280029,0.00001040233,0.001077059],"genre_scores_gemma":[0.9989004,0.000005327222,0.0004214509,0.00008191678,0.00002928198,0.000004626123,0.000005086272,0.000003218759,0.0005487063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009464594,"threshold_uncertainty_score":0.3258182,"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."}}