{"id":"W3092222122","doi":"10.1038/s41598-020-73648-2","title":"Comparing fish prey diversity for a critically endangered aquatic mammal in a reserve and the wild using eDNA metabarcoding","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Key Programme; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Queen's University; National Natural Science Foundation of China","keywords":"Environmental DNA; Endangered species; Ecology; Biology; Netting; Fishery; Predation; Critically endangered; Phylogenetic diversity; Biodiversity; Phylogenetic tree; Habitat","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":[0.00134709,0.0001327171,0.0002411683,0.00003205804,0.001171827,0.0001474488,0.0002268483,0.00003387421,0.00006770279],"category_scores_gemma":[0.0005929079,0.0001087544,0.0000803475,0.0002603236,0.001370683,0.000311847,0.002147458,0.0001151587,0.000009406551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503077,"about_ca_system_score_gemma":0.000004842987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006154897,"about_ca_topic_score_gemma":0.000510922,"domain_scores_codex":[0.998148,0.00008280555,0.0002898395,0.0006711195,0.0004793749,0.0003288677],"domain_scores_gemma":[0.9993466,0.0001378512,0.000120842,0.0002672866,0.00000731519,0.0001201642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006052242,0.00003199277,0.9895579,0.00002602335,0.0000180181,0.00007800653,0.004660371,0.0002374035,0.00323458,0.0000150444,0.001938724,0.0001414001],"study_design_scores_gemma":[0.003553704,0.0001120528,0.8758619,0.0001227116,0.0003450651,0.00010769,0.006153611,0.09530807,0.006226032,0.006386337,0.004951718,0.0008711048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965205,0.00006891394,0.0003581504,0.00157846,0.0003552609,0.0006583811,0.000006012236,0.00002148891,0.0004328032],"genre_scores_gemma":[0.9946093,0.000005358232,0.00495475,0.0003002302,0.00001756647,0.00001054222,0.00000538223,0.000005934125,0.00009095749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.113696,"threshold_uncertainty_score":0.9012864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06360034625331423,"score_gpt":0.2447903435298459,"score_spread":0.1811899972765317,"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."}}