{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007890091,0.0004396962,0.0005561835,0.001112552,0.001122755,0.001620863,0.0006008873,0.0004816182,0.001092455],"category_scores_gemma":[0.002704855,0.0003863688,0.0003229912,0.001449427,0.0009978936,0.0007470007,0.0007376879,0.0003981389,0.0004510659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534892,"about_ca_system_score_gemma":0.001607989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1117513,"about_ca_topic_score_gemma":0.4540836,"domain_scores_codex":[0.9982077,0.0001383858,0.0001184762,0.000719855,0.0006776447,0.0001378776],"domain_scores_gemma":[0.9983556,0.0002363234,0.0004917177,0.0001362546,0.0006729879,0.0001069987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001853908,0.00004861658,0.5048273,0.0005550868,0.0002831029,0.0001928355,0.002345788,0.0005537773,0.4432759,0.0003265975,0.0004403295,0.04696529],"study_design_scores_gemma":[0.000007929794,0.0001360597,0.9631088,0.0001166956,0.0001610148,0.0003210442,0.0012274,0.001447897,0.02737183,0.0002832678,0.005793614,0.00002440507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597372,0.001341322,0.02860017,0.000191055,0.00003554852,0.0001891615,0.002105864,0.000154769,0.007644819],"genre_scores_gemma":[0.9450495,0.0009892066,0.04716401,0.0005579379,0.0000124751,0.0001838121,0.00171183,0.00006852279,0.004262621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1117513,"threshold_uncertainty_score":0.2222016,"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."}}