{"id":"W2736241183","doi":"10.1111/cobi.12988","title":"Scaling range sizes to threats for robust predictions of risks to biodiversity","year":2017,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"Australian Research Council; National Science Foundation","keywords":"Occupancy; Biodiversity; Environmental science; Range (aeronautics); Threatened species; Temporal scales; Scale (ratio); Ecosystem; Extinction (optical mineralogy); Ecology; Spatial ecology; IUCN Red List; Environmental resource management; Geography; Habitat; Biology; Cartography","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":[0.000175884,0.00005285543,0.0001065349,0.000028277,0.0005805134,0.00000665683,0.0001605841,0.00006572601,0.00009516517],"category_scores_gemma":[0.000484417,0.0000504438,0.00002889774,0.00004326777,0.0002107129,0.00006576667,0.0001553139,0.00002713436,0.00008951948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003135331,"about_ca_system_score_gemma":0.000006155868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004176544,"about_ca_topic_score_gemma":0.002578165,"domain_scores_codex":[0.9995656,0.00002138089,0.0001141047,0.0001638027,0.00002665658,0.0001084545],"domain_scores_gemma":[0.9995002,0.0001648526,0.00009423105,0.0001653498,0.00003694957,0.0000384208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003580195,0.00001757607,0.9932656,0.000003116008,0.00001400841,8.26759e-8,0.0002337377,0.001680541,0.0008320691,0.0005294919,0.002467586,0.0009203776],"study_design_scores_gemma":[0.0002422395,0.0000979491,0.993909,0.00000338469,0.00001412909,2.661928e-7,0.00005451813,0.002221588,0.0001628157,0.001189388,0.002048485,0.0000562103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440292,0.00001101876,0.04476488,0.009460946,0.0002450483,0.0003516406,0.0001056923,0.00001811845,0.001013468],"genre_scores_gemma":[0.9906253,0.00001580478,0.007990089,0.001053481,0.00001526899,0.00004659646,0.00001549939,0.000001793577,0.0002361928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04659609,"threshold_uncertainty_score":0.4464898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121364067202261,"score_gpt":0.3313877430637941,"score_spread":0.219251336343568,"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."}}