{"id":"W4412047390","doi":"10.1002/edn3.70106","title":"Navigating the Murky Waters: Variation in Low Abundance Sequence Filtration in Fish <scp>eDNA</scp> Metabarcoding","year":2025,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Abundance (ecology); Fish <Actinopterygii>; Fishery; Sequence (biology); Biology; Zoology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01839971,0.0004617518,0.0009288122,0.002831038,0.0007038802,0.002846632,0.001455888,0.0008550143,0.001183697],"category_scores_gemma":[0.03230815,0.000332326,0.001060009,0.003073249,0.001677933,0.002085779,0.001391394,0.0008238876,0.0004433545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008728643,"about_ca_system_score_gemma":0.002033728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007465083,"about_ca_topic_score_gemma":0.01777552,"domain_scores_codex":[0.9873826,0.005051889,0.002053442,0.002110684,0.003115063,0.0002862868],"domain_scores_gemma":[0.9726935,0.01594338,0.004896143,0.001176563,0.005117982,0.0001724212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003584293,0.00004297947,0.1464665,0.02927744,0.001849507,0.000923666,0.00522601,0.002478092,0.03026074,0.004774013,0.006566716,0.7717759],"study_design_scores_gemma":[0.00006756427,0.0009385618,0.4729215,0.0372259,0.006314172,0.005519839,0.0100815,0.005266374,0.07726464,0.01620642,0.3676128,0.0005808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3674731,0.423986,0.1706034,0.007836833,0.001099757,0.0005602997,0.005041377,0.00077568,0.02262355],"genre_scores_gemma":[0.71324,0.1192405,0.1537641,0.005262014,0.0002966662,0.0006290086,0.003714712,0.0004426967,0.003410161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01839971,"threshold_uncertainty_score":0.09730816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116038673292116,"score_gpt":0.2242687950046558,"score_spread":0.2131084082717346,"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."}}