{"id":"W4394760284","doi":"10.32942/x26g7z","title":"The global protected area network does not harbor genetically diverse populations","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","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; Population; Biology; Diversity (politics); Geography; Ecology; Protected area; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001133286,0.0002223661,0.0003546133,0.0006109396,0.0004257925,0.0007503451,0.0003212536,0.0001772493,0.004684392],"category_scores_gemma":[0.00445131,0.00008947979,0.0001453426,0.001888977,0.0005345566,0.0007745849,0.0006868669,0.0002839131,0.00069693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003934953,"about_ca_system_score_gemma":0.0005177963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005807447,"about_ca_topic_score_gemma":0.0155743,"domain_scores_codex":[0.9992614,0.0001694083,0.00004054323,0.0002586836,0.0001856439,0.00008442709],"domain_scores_gemma":[0.9979802,0.0004893793,0.0006054221,0.0004987805,0.0002821889,0.0001440807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001881266,0.00002644022,0.8963553,0.0001943321,0.0002311235,0.000167604,0.001110887,0.00154887,0.003522659,0.006110373,0.008229674,0.08231462],"study_design_scores_gemma":[0.00002008899,0.00007868174,0.9565169,0.00009729723,0.00008889184,0.0006171496,0.0008497373,0.001873812,0.0008998291,0.004873227,0.03406928,0.00001514111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504803,0.0005287044,0.005197239,0.0008819201,0.00008440414,0.00002844349,0.007401373,0.0001170777,0.03528047],"genre_scores_gemma":[0.9909511,0.0001676671,0.002275416,0.0001698073,0.00001787459,0.00002167756,0.004814743,0.00003983518,0.00154185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005807447,"threshold_uncertainty_score":0.01567084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261235607596789,"score_gpt":0.2614008276245953,"score_spread":0.2387884715486274,"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."}}