{"id":"W2794220083","doi":"10.1002/aqc.2869","title":"Validation of environmental DNA (eDNA) as a detection tool for at‐risk freshwater pearly mussel species (Bivalvia: Unionidae)","year":2018,"lang":"en","type":"article","venue":"Aquatic Conservation Marine and Freshwater Ecosystems","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Fisheries and Oceans Canada; Trent University","funders":"Fisheries and Oceans Canada; Trent University; Ontario Ministry of Natural Resources and Forestry","keywords":"Environmental DNA; Unionidae; Biology; Ecology; Endangered species; Mussel; Quadrat; Margaritifera; Threatened species; Sampling (signal processing); Habitat; Sympatric speciation; Introduced species; Bivalvia; Biodiversity; Zoology; Mollusca; Filter (signal processing)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002335277,0.0004374449,0.0002413274,0.0005321786,0.0003851288,0.0007100847,0.0004661237,0.0005675177,0.0004792618],"category_scores_gemma":[0.003023492,0.0002534418,0.0002260116,0.0002864485,0.0005852719,0.0003417887,0.0005910723,0.0002702742,0.0002390332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004856391,"about_ca_system_score_gemma":0.00049666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003228176,"about_ca_topic_score_gemma":0.006364071,"domain_scores_codex":[0.9981055,0.0006153077,0.0001394883,0.0004420982,0.0006115501,0.00008599382],"domain_scores_gemma":[0.9979114,0.0006596259,0.0004534087,0.0001994377,0.0006672795,0.000108942],"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":[0.0001266243,0.00009868663,0.04811393,0.0001135129,0.00002825683,0.00006337152,0.0001990633,0.0011839,0.9388267,0.0001440269,0.00006009292,0.01104194],"study_design_scores_gemma":[0.00001991533,0.002112187,0.08043905,0.00007901539,0.00009605654,0.0004469646,0.0003760452,0.008865425,0.9031203,0.0001016527,0.004309645,0.00003371407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9625933,0.0003703075,0.0350274,0.00005792844,0.0000204774,0.0001717992,0.000444999,0.0001073505,0.00120649],"genre_scores_gemma":[0.9465278,0.0002449712,0.05049249,0.0001118204,0.000005506142,0.0001551973,0.001017299,0.00001907142,0.001425826],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003228176,"threshold_uncertainty_score":0.01235026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011609168372969,"score_gpt":0.1918114181355528,"score_spread":0.1802022497625838,"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."}}