{"id":"W2127367934","doi":"10.1111/ele.12189","title":"Predicting species distributions for conservation decisions","year":2013,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2019,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council; McMaster University; Commonwealth Scientific and Industrial Research Organisation; Centre of Excellence for Environmental Decisions, Australian Research Council","keywords":"Process (computing); Identification (biology); Endangered species; Computer science; Decision support system; Construct (python library); Distribution (mathematics); Management science; Selection (genetic algorithm); Ecology; Habitat; Environmental resource management; Biology; Artificial intelligence; Engineering; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979897432846485,"score_gpt":0.2388572743118715,"score_spread":0.2090582999834066,"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."}}