{"id":"W2477419822","doi":"10.1093/biosci/biw092","title":"Saving the World's Terrestrial Megafauna","year":2016,"lang":"en","type":"article","venue":"BioScience","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School of Life and Environmental Sciences, Deakin University; Nelson Mandela University; Sveriges Lantbruksuniversitet; University of Stirling; Inyuvesi Yakwazulu-Natali; University of Pretoria; University of Nottingham; Panthera; Deakin University; Chinese Academy of Sciences; University of Oxford; University of Washington; Directorate for Biological Sciences; Ohio State University; Wildlife Conservation Society; Raincoast Conservation Foundation; University of Nottingham Malaysia Campus; University of Sydney; Oregon State University; University of Victoria","keywords":"Megafauna; IUCN Red List; Threatened species; Extinction (optical mineralogy); Geography; Ecology; CITES; Population; Pleistocene; Biology; Habitat; Archaeology; Paleontology; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008777563,0.0006385125,0.0003070701,0.0006051934,0.001666678,0.003065184,0.001112552,0.001714869,0.06938731],"category_scores_gemma":[0.002389019,0.0001555834,0.0002941069,0.0009021561,0.001071665,0.003482446,0.004549771,0.002103282,0.01997184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000688974,"about_ca_system_score_gemma":0.002112288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003956463,"about_ca_topic_score_gemma":0.00975469,"domain_scores_codex":[0.9996322,0.00007129748,0.00001066219,0.00006131773,0.0001062146,0.0001183227],"domain_scores_gemma":[0.9990594,0.00008216054,0.00007866566,0.00009766161,0.0001457322,0.0005362508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005545936,0.00005035609,0.002905214,0.0007555319,0.000042986,0.0001416711,0.0009717185,0.0001084806,0.00219894,0.01287316,0.6572561,0.3226404],"study_design_scores_gemma":[0.000007152496,0.00003306019,0.005815346,0.0003839115,0.00001635352,0.0001500128,0.0009255458,0.00003606119,0.0003416549,0.005066931,0.9872146,0.000009406576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07281821,0.1934345,0.00944887,0.3143233,0.02926047,0.00009974107,0.009285241,0.002149633,0.36918],"genre_scores_gemma":[0.4097457,0.1546829,0.01449189,0.1344717,0.009088783,0.0002386501,0.01280496,0.0008672093,0.2636082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06938731,"threshold_uncertainty_score":0.2321237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517023031520368,"score_gpt":0.2283495956630523,"score_spread":0.2131793653478486,"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."}}