{"id":"W3031983174","doi":"10.1002/edn3.89","title":"60 specific eDNA qPCR assays to detect invasive, threatened, and exploited freshwater vertebrates and invertebrates in Eastern Canada","year":2020,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université Laval","funders":"","keywords":"Threatened species; Environmental DNA; Biology; Invasive species; Invertebrate; Ecology; TaqMan; Endangered species; Fishery; Zoology; Habitat; Biodiversity; Polymerase chain reaction","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007423748,0.0007725603,0.0003807434,0.002197998,0.001064114,0.0005505132,0.0006638124,0.0003320634,0.002503725],"category_scores_gemma":[0.0008890599,0.0003096425,0.000354567,0.001631999,0.0007292416,0.0001932965,0.000626116,0.0004158472,0.0003944338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004577374,"about_ca_system_score_gemma":0.005491753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5695999,"about_ca_topic_score_gemma":0.8861966,"domain_scores_codex":[0.99888,0.00006574032,0.00007161488,0.0002868819,0.0004936806,0.0002021895],"domain_scores_gemma":[0.9987214,0.0001218599,0.0001644207,0.0000328351,0.0008198871,0.0001394884],"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":[0.0002469899,0.0001280817,0.2434976,0.0006303507,0.0001221547,0.0001599951,0.002159514,0.001429315,0.6994339,0.0006745671,0.001460973,0.05005661],"study_design_scores_gemma":[0.00003331698,0.0005853447,0.7758572,0.0002096623,0.0001935163,0.0003297938,0.0032823,0.003743944,0.193493,0.0002037789,0.02197161,0.0000965393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.94825,0.002183447,0.02477125,0.0001910883,0.00005721932,0.0006897427,0.01029285,0.0004489353,0.01311563],"genre_scores_gemma":[0.8920652,0.002427597,0.06961507,0.00072295,0.00001360996,0.0007262234,0.009905431,0.00007198455,0.02445203],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4304001,"threshold_uncertainty_score":0.8658697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495843198879293,"score_gpt":0.169867664160413,"score_spread":0.15490923217162,"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."}}