{"id":"W4296794599","doi":"10.1126/science.abn5642","title":"Genetic diversity loss in the Anthropocene","year":2022,"lang":"en","type":"article","venue":"Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":272,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; National Institutes of Health","keywords":"Anthropocene; Diversity (politics); Genetic diversity; Environmental ethics; Geography; Evolutionary biology; Biology; History; Ecology; Anthropology; Sociology; Philosophy; Demography; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003459642,0.0001364704,0.0001242385,0.0008336516,0.0004673026,0.0005078558,0.0002277484,0.0003129788,0.001449521],"category_scores_gemma":[0.001256467,0.00008171157,0.0001247415,0.001027201,0.000990396,0.0005066222,0.0004925782,0.0003752844,0.0001050181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005959319,"about_ca_system_score_gemma":0.000222172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005107072,"about_ca_topic_score_gemma":0.008093914,"domain_scores_codex":[0.9998783,0.00002712413,0.00000515709,0.00004247622,0.00002116894,0.000025755],"domain_scores_gemma":[0.9996293,0.00006906356,0.000190779,0.00002938924,0.00003713468,0.00004431007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001417297,0.00004131348,0.9409002,0.00005642093,0.00009205603,0.0004183709,0.001861235,0.004838156,0.005278892,0.004245623,0.0007647884,0.04136126],"study_design_scores_gemma":[0.000003038951,0.00005438525,0.9909758,0.000008966888,0.00001107822,0.0003509295,0.0005354839,0.001905438,0.000338178,0.004057519,0.001750805,0.000008348571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970036,0.0002950648,0.0008350359,0.0001716226,0.000005036506,0.000002376268,0.0001443907,0.00001076591,0.001532065],"genre_scores_gemma":[0.9991536,0.0001893429,0.0003083126,0.00004156615,0.000006864805,0.000002660148,0.0001217208,0.00000244312,0.0001735994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005107072,"threshold_uncertainty_score":0.01015472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272246011062276,"score_gpt":0.249794233273343,"score_spread":0.2225696321671154,"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."}}