{"id":"W2981325559","doi":"10.1111/ele.13394","title":"No consistent effects of humans on animal genetic diversity worldwide","year":2019,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université du Québec à Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biodiversity; Biology; Genetic diversity; Ecology; Intraspecific competition; Diversity (politics); Ecosystem diversity; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005296849,0.0003233768,0.0004054006,0.0001295672,0.0001442611,0.00001082218,0.000453644,0.0008798311,0.0001485284],"category_scores_gemma":[0.00005673183,0.0003453503,0.0002811323,0.00005040636,0.0002139729,0.00000170625,0.0004868016,0.0005655706,0.0002297197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003853645,"about_ca_system_score_gemma":0.0000514958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003475142,"about_ca_topic_score_gemma":0.00002235531,"domain_scores_codex":[0.99841,0.0001883506,0.0002332895,0.0005821191,0.0002201803,0.0003661001],"domain_scores_gemma":[0.9989767,0.00009354568,0.0002663554,0.0005456497,0.00007903446,0.00003872631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000834411,0.00002343452,0.03968098,0.0002096424,0.0003256641,0.0001451087,0.0000298595,0.0001246749,0.02471327,0.000002679021,0.9346278,0.00003339903],"study_design_scores_gemma":[0.001248273,0.001128813,0.3330666,0.00004586236,0.0003307128,0.00001592977,0.000004916712,0.000003463867,0.005322432,0.00001186,0.6582667,0.0005545242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9374827,0.0001001054,0.0000292366,0.05832254,0.00227766,0.0005318683,0.00008875327,0.00001408174,0.001153101],"genre_scores_gemma":[0.2930845,0.00003934027,0.0003973553,0.7001664,0.001481523,0.000006729507,0.0006712165,0.00003691388,0.004116054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6443982,"threshold_uncertainty_score":0.9998999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007102315390353806,"score_gpt":0.1984803392639598,"score_spread":0.191378023873606,"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."}}