{"id":"W4377010801","doi":"10.1186/s12862-023-02118-w","title":"Hidden diversity: DNA metabarcoding reveals hyper-diverse benthic invertebrate communities","year":2023,"lang":"en","type":"article","venue":"BMC Ecology and Evolution","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biomonitoring; Benthic zone; Ecology; Biodiversity; Invertebrate; Aquatic insect; Environmental DNA; Taxonomic rank; STREAMS; Beta diversity; Biology; Freshwater ecosystem; Taxon; Aquatic ecosystem; Spatial ecology; Species richness; Community structure; Community; Ecosystem; Metacommunity; Habitat; Biological dispersal; 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":[0.0005517253,0.0003600101,0.0003092634,0.002051138,0.0006453687,0.0008368304,0.0004715956,0.0004243871,0.0007475252],"category_scores_gemma":[0.001580797,0.0002048311,0.0003040707,0.001738329,0.0005609471,0.0002893051,0.0006107838,0.0003709301,0.0003464367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007182898,"about_ca_system_score_gemma":0.0008385769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01874837,"about_ca_topic_score_gemma":0.05997604,"domain_scores_codex":[0.999315,0.00006090853,0.00004558889,0.0003291874,0.0001783367,0.00007097349],"domain_scores_gemma":[0.9986385,0.0002286045,0.0006143593,0.0001003205,0.0003134972,0.000104792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002492226,0.00006849122,0.5154039,0.0006943432,0.0003016014,0.0003245062,0.001759996,0.001277376,0.4144412,0.0006150411,0.001034116,0.06383025],"study_design_scores_gemma":[0.0000165452,0.0001421273,0.9508784,0.0001181979,0.0002346993,0.000802783,0.0007912598,0.005611616,0.03260992,0.0006861828,0.008067301,0.00004107402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655187,0.001862754,0.02392058,0.0001760203,0.0000212146,0.0000772392,0.005626731,0.0002475445,0.002549205],"genre_scores_gemma":[0.9605162,0.0005703167,0.03269578,0.000231586,0.00001703627,0.00007080064,0.004937885,0.00004412543,0.0009162734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01874837,"threshold_uncertainty_score":0.03727847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04536158092803295,"score_gpt":0.2252043060679842,"score_spread":0.1798427251399512,"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."}}