{"id":"W2920237588","doi":"10.1002/ece3.4985","title":"Invasion genetics from eDNA and thousands of larvae: A targeted metabarcoding assay that distinguishes species and population variation of zebra and quagga mussels","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research Committee, Aristotle University of Thessaloniki; University of Toledo; National Oceanic and Atmospheric Administration; International Association for Great Lakes Research; Hudson River Foundation; Johns Hopkins University; Ontario Ministry of Natural Resources and Forestry; U.S. Geological Survey; Joint Institute for the Study of the Atmosphere and Ocean; University of Washington; River Foundation; NOAA Pacific Marine Environmental Laboratory; U.S. Environmental Protection Agency","keywords":"Biology; Zebra mussel; Dreissena; Population; Ecology; Environmental DNA; DNA barcoding; Population genetics; Invasive species; Zoology; Introduced species; Genetic diversity; Habitat; Genetic variation; Ecological genetics; Biodiversity; Mussel; Mollusca; Gene; Genetics; Bivalvia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004590892,0.0003453177,0.0001680232,0.0004505577,0.0001914149,0.0003198149,0.0002641464,0.0003696672,0.000407324],"category_scores_gemma":[0.0005806487,0.000235171,0.0002135151,0.0002089586,0.0002965748,0.0001716782,0.0003907011,0.0002496716,0.0002650698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039982,"about_ca_system_score_gemma":0.0001621269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113714,"about_ca_topic_score_gemma":0.003650453,"domain_scores_codex":[0.9993792,0.0001008209,0.00004606014,0.0002656727,0.0001623503,0.00004578087],"domain_scores_gemma":[0.9994349,0.0001437252,0.0001813329,0.00007790051,0.00009829419,0.00006387755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005747212,0.00002865236,0.005982473,0.00001770267,0.00001242349,0.000009702712,0.00004288131,0.0001224622,0.9906854,0.00003038809,0.0000188548,0.002991586],"study_design_scores_gemma":[0.00001662423,0.0006217153,0.1191113,0.00001166635,0.00006752418,0.000374509,0.00008891271,0.007958453,0.8703101,0.0000648584,0.001351141,0.00002326631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666538,0.000137984,0.03144303,0.0000358208,0.000007245685,0.00006424652,0.000629053,0.0001862723,0.0008426367],"genre_scores_gemma":[0.9255458,0.0002125155,0.06998786,0.00009134985,0.000007948887,0.0002075708,0.001499199,0.00003602929,0.0024118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001113714,"threshold_uncertainty_score":0.002427936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246172665808685,"score_gpt":0.1917317844540288,"score_spread":0.179270057795942,"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."}}