{"id":"W3194031332","doi":"10.3389/fevo.2021.704809","title":"The Promise of Genetics and Genomics for Improving Invasive Mammal Management on Islands","year":2021,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Biosecurity; Genomics; Biology; Biodiversity; Species richness; Ecology; Environmental resource management; Evolutionary biology; Genome; Genetics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001151299,0.00005294217,0.00007297105,0.00001515163,0.0001889224,0.000004125363,0.00004787047,0.0000460896,0.000003048145],"category_scores_gemma":[0.00001936104,0.00004675366,0.00001267101,0.00003096404,0.0002925275,0.00002761831,0.0001957692,0.00003944445,0.000001517577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799899,"about_ca_system_score_gemma":0.000002453674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005119228,"about_ca_topic_score_gemma":0.0001250943,"domain_scores_codex":[0.9995716,0.00002393403,0.00008337752,0.0001571285,0.00004132963,0.0001226009],"domain_scores_gemma":[0.9998356,0.00003917839,0.00004028825,0.00006746371,0.000002070572,0.00001546366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005442742,0.00002537726,0.9940028,0.00001859911,0.00001699681,0.000002186379,0.0002131608,0.0001301966,0.0005694765,0.00006244117,0.001180512,0.003723863],"study_design_scores_gemma":[0.0004546284,0.000111957,0.9945749,0.000002833511,0.0000218945,0.000001582805,0.00147516,0.0006237421,0.0008015019,0.001308822,0.0005716283,0.00005134445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981285,0.0004895854,0.0003929509,0.0001506999,0.0001985618,0.0002387806,0.000008856143,0.000002147101,0.0003899616],"genre_scores_gemma":[0.9835084,0.001187629,0.01493282,0.0000525272,0.000006881474,0.00001951074,0.000003421771,0.000002496263,0.0002862873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01462003,"threshold_uncertainty_score":0.1906559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005057194183978468,"score_gpt":0.1743842113005186,"score_spread":0.1693270171165402,"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."}}