{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030772,0.00007188734,0.00006688043,0.00005654707,0.001529339,0.0001470653,0.0002067568,0.00001818067,0.004567294],"category_scores_gemma":[0.004073798,0.00007885976,0.00001803711,0.0008002408,0.0004460977,0.001424774,0.0002275439,0.00008998434,0.00004688035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006033998,"about_ca_system_score_gemma":0.0001399978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001574145,"about_ca_topic_score_gemma":0.00005412547,"domain_scores_codex":[0.9984998,0.0000771433,0.0001786269,0.0002957426,0.0007549108,0.0001938272],"domain_scores_gemma":[0.9985511,0.0008992329,0.0001673534,0.000122941,0.0001945257,0.00006486288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003532104,0.0002250023,0.06410164,0.00002393542,0.00001420604,0.000005564413,0.00260569,0.00005283585,0.3998853,0.3083231,0.2174762,0.006933284],"study_design_scores_gemma":[0.0002736097,0.00005473023,0.1173983,0.000001085883,0.000009620048,0.00005101213,0.006084063,0.001274346,0.0003502665,0.0006167711,0.873778,0.0001081825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7045357,0.0001206794,0.001911778,0.1356132,0.0006547624,0.0009152136,0.0002032373,0.0001103672,0.1559351],"genre_scores_gemma":[0.9541419,0.00008169484,0.002399249,0.04043518,0.00004586918,0.0002513675,0.0001179664,0.000009548642,0.002517189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6563019,"threshold_uncertainty_score":0.9997705,"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."}}