{"id":"W2622929820","doi":"10.1016/j.jglr.2017.05.001","title":"Quantitative PCR multiplexes for simultaneous multispecies detection of Asian carp eDNA","year":2017,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"Ontario Ministry of Natural Resources and Forestry","keywords":"Hypophthalmichthys; Bighead carp; Grass carp; Silver carp; Fishery; Environmental DNA; Biology; Carp; Multiplex polymerase chain reaction; Multiplex; Invasive species; Ecology; Polymerase chain reaction; Fish <Actinopterygii>; Biodiversity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0008764893,0.0001248687,0.0002780183,0.0001167371,0.001016926,0.00006299362,0.0006650576,0.00007666683,0.000125764],"category_scores_gemma":[0.002037409,0.0001018025,0.0001616375,0.00008168568,0.001586523,0.0004117276,0.0004084076,0.000280468,0.00002518881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237523,"about_ca_system_score_gemma":0.000007347859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003313719,"about_ca_topic_score_gemma":0.000782584,"domain_scores_codex":[0.998153,0.0001171606,0.0003136448,0.0001961165,0.0008901735,0.0003299081],"domain_scores_gemma":[0.9983985,0.0006765511,0.0003883677,0.0003127259,0.0001125981,0.0001112437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001167455,0.0002635627,0.4280099,0.00006587861,0.0001856542,0.0001032944,0.003512599,0.000889601,0.5332134,0.00002735893,0.00145585,0.0311054],"study_design_scores_gemma":[0.002317694,0.003611841,0.7694678,0.0001188317,0.00006377141,0.00005115455,0.008084803,0.001751168,0.197883,0.000315538,0.01603992,0.0002945786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965722,0.0001501535,0.000245293,0.0003707255,0.0001733471,0.0003229397,0.00007819864,0.000004317817,0.002082843],"genre_scores_gemma":[0.9921538,0.0002524008,0.006274446,0.000005505512,0.00006517013,0.000004824021,0.000001075477,0.000008608092,0.001234215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3414578,"threshold_uncertainty_score":0.7821476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08589173572579904,"score_gpt":0.3525824866538438,"score_spread":0.2666907509280448,"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."}}