{"id":"W3049613390","doi":"10.1111/mec.15597","title":"Assessment of stream macroinvertebrate communities with eDNA is not congruent with tissue‐based metabarcoding","year":2020,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada First Research Excellence Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Environmental DNA; Invertebrate; Ecology; STREAMS; Molecular ecology; Evolutionary biology; Biodiversity; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007510657,0.000197923,0.0003060016,0.00002506571,0.0001534864,0.00001219689,0.0002953165,0.00005018056,0.002118302],"category_scores_gemma":[0.000004346198,0.0001652487,0.00004022498,0.0001330153,0.0007656836,0.00007650797,0.0003815922,0.000149451,0.00009869603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347604,"about_ca_system_score_gemma":0.00001142645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003755675,"about_ca_topic_score_gemma":0.000356618,"domain_scores_codex":[0.9988663,0.0001156604,0.0001621335,0.0002704551,0.0003154034,0.0002700105],"domain_scores_gemma":[0.9994592,0.00004641252,0.0001278057,0.0002570615,0.000008381862,0.0001011541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004829884,0.0001216677,0.9444053,0.00002588662,0.0001406062,0.0001070865,0.0006114336,0.004457031,0.04948628,0.00004332466,0.0004233911,0.0001296512],"study_design_scores_gemma":[0.001478194,0.001884477,0.7326723,0.00001449288,0.0001752756,0.000007969576,0.001532493,0.002937579,0.2574596,0.000009849437,0.001483358,0.0003443205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993109,0.00001628493,0.001473397,0.002097175,0.00001973455,0.0003079867,0.00005128486,0.00002735792,0.002897739],"genre_scores_gemma":[0.9784318,0.00001192903,0.01652378,0.004936948,0.000003063838,0.00001219552,0.00001880246,0.00001552832,0.00004598153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.211733,"threshold_uncertainty_score":0.9987939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730977828433354,"score_gpt":0.2311413361187838,"score_spread":0.2138315578344502,"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."}}