{"id":"W2148152210","doi":"10.1111/conl.12167","title":"The IUCN Red List of Ecosystems: Motivations, Challenges, and Applications","year":2015,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"Australian Research Council; MAVA Foundation; Centre of Excellence for Environmental Decisions, Australian Research Council; Gordon and Betty Moore Foundation","keywords":"IUCN Red List; Threatened species; Environmental resource management; Ecosystem; Conservation-dependent species; Biodiversity; Convention on Biological Diversity; Ecosystem management; Near-threatened species; Ecology; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003207469,0.00005008392,0.00006387154,0.00001483064,0.0001778647,0.000008233233,0.00008341933,0.00002529704,0.000009492614],"category_scores_gemma":[0.0001065198,0.00004018956,0.00001184823,0.00008046614,0.0002998221,0.00009724042,0.00004967802,0.00004061199,0.00001903049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004055529,"about_ca_system_score_gemma":0.000006828584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005555903,"about_ca_topic_score_gemma":0.001062864,"domain_scores_codex":[0.9995043,0.000057486,0.0001644754,0.0001108122,0.00008870637,0.00007426695],"domain_scores_gemma":[0.9994963,0.0002030671,0.0001105859,0.000135777,0.00002472211,0.0000295538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001978075,0.00005592411,0.8757281,0.00003487606,0.00005699536,6.384332e-7,0.002179717,0.0006130792,0.003010938,0.05527629,0.05691557,0.006108106],"study_design_scores_gemma":[0.000501485,0.00002928055,0.7540088,0.00001208233,0.00001988607,0.000004629311,0.0008983224,0.004481062,0.00008471512,0.004732184,0.2350825,0.0001450198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8022985,0.002031535,0.008462898,0.1765375,0.0002041228,0.0007944133,0.000008925867,0.0000657061,0.009596401],"genre_scores_gemma":[0.9970957,0.0003700939,0.0004318103,0.001689553,0.00002461381,0.0001351911,0.000008252352,0.00000492124,0.0002398707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1947972,"threshold_uncertainty_score":0.1638883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718854086827762,"score_gpt":0.2268354541176069,"score_spread":0.1996469132493292,"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."}}