{"id":"W7117724731","doi":"10.1111/ele.70306","title":"Variability, Drivers, and Utility of Genetic Diversity‐Area Relationships in Terrestrial Vertebrates","year":2025,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; U.S. Geological Survey; Deutsche Forschungsgemeinschaft","keywords":"Genetic diversity; Biodiversity; Species richness; Conservation genetics; Genetic variation; Population; Diversity (politics); Allele","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":[0.001652299,0.0001733677,0.0002299768,0.001367462,0.0003457176,0.0009750215,0.000379573,0.0002869236,0.0005841467],"category_scores_gemma":[0.005088525,0.000145959,0.000295357,0.001175594,0.0008574287,0.0007045348,0.00049062,0.0003682365,0.0001266999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004540029,"about_ca_system_score_gemma":0.0002504323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007842283,"about_ca_topic_score_gemma":0.01420137,"domain_scores_codex":[0.9992105,0.0003605834,0.00003725925,0.0002510934,0.00008619195,0.00005428003],"domain_scores_gemma":[0.9973459,0.001309695,0.0007847014,0.0002714083,0.000174458,0.0001138116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003332512,0.000008633262,0.9886525,0.00001364213,0.0001296281,0.00002454287,0.0001878833,0.002145442,0.001181711,0.0002560549,0.00004361941,0.007323071],"study_design_scores_gemma":[0.000001948377,0.00002053543,0.990026,0.00000922549,0.0000218954,0.00004947522,0.000210947,0.008580065,0.0001632079,0.0007704937,0.0001383718,0.000007983471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983754,0.0001463195,0.000912591,0.00002537297,0.000001169755,0.000002069285,0.0001276201,0.000009140778,0.0004002369],"genre_scores_gemma":[0.9995011,0.00003644053,0.0003142711,0.000005480238,0.000001889788,0.000001615885,0.00009980417,0.000002095011,0.00003730817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007842283,"threshold_uncertainty_score":0.01559323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137560406014599,"score_gpt":0.2192769609330213,"score_spread":0.2055209203315614,"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."}}