{"id":"W4311184835","doi":"10.1111/csp2.12845","title":"Prioritizing nationally endemic species for conservation","year":2022,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon Department of Environment; Yukon University; University of Waterloo; Fisheries and Oceans Canada; Nature Conservancy of Canada; Wildlife Conservation Society Canada","funders":"Echo Foundation; McLean Foundation","keywords":"Endemism; Biodiversity; Endangered species; Geography; Habitat; Biodiversity conservation; Ecology; Conservation biology; Global biodiversity; Environmental resource management; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002030513,0.0002153215,0.0002465462,0.002127594,0.001803864,0.002151447,0.00064904,0.0003664608,0.009065188],"category_scores_gemma":[0.004611104,0.0001150421,0.000167906,0.001953037,0.0006743769,0.001707632,0.002262303,0.0006306788,0.0003722736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002121302,"about_ca_system_score_gemma":0.005607815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0353205,"about_ca_topic_score_gemma":0.1983192,"domain_scores_codex":[0.9988601,0.0004313267,0.00004994878,0.0001073637,0.0002495561,0.0003017179],"domain_scores_gemma":[0.9963397,0.0007404018,0.000631213,0.0001699294,0.001328321,0.0007904446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001011178,0.0002315314,0.5484014,0.001077774,0.0001283838,0.0009102487,0.006941811,0.004298848,0.009918936,0.02855122,0.02718584,0.372253],"study_design_scores_gemma":[0.00002170181,0.0001734508,0.7403178,0.001177157,0.0001638376,0.00128261,0.06097286,0.01096502,0.004374013,0.03790985,0.1425496,0.00009210082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8187709,0.0021493,0.02271906,0.009402054,0.0001979898,0.0004054389,0.001158031,0.0001682075,0.145029],"genre_scores_gemma":[0.9827153,0.0004548815,0.01321534,0.0005743806,0.00002231031,0.00006246982,0.0003181866,0.00001248074,0.002624768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0353205,"threshold_uncertainty_score":0.07022983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09559708917164374,"score_gpt":0.327250000539444,"score_spread":0.2316529113678003,"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."}}