{"id":"W4405824325","doi":"10.1002/edn3.70054","title":"Taxonomic Blind Spots: A Limitation of Environmental DNA Metabarcoding‐Based Detection for Canadian Freshwater Fishes","year":2024,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Parks Canada; Ontario Genomics; Environment and Climate Change Canada; McMaster University; Genome Canada","keywords":"Environmental DNA; Biology; Zoology; Ecology; Fishery; Biodiversity","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":[0.009098685,0.0007615882,0.0009281509,0.004428813,0.003988908,0.002590383,0.002359452,0.0007350098,0.00125306],"category_scores_gemma":[0.02362238,0.0005225595,0.0007640834,0.007081885,0.001974672,0.001030916,0.002138604,0.000688952,0.0003594391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008071797,"about_ca_system_score_gemma":0.01317026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6910772,"about_ca_topic_score_gemma":0.8845852,"domain_scores_codex":[0.9875196,0.001296017,0.0007242176,0.002827806,0.006498141,0.001134194],"domain_scores_gemma":[0.981491,0.004343727,0.002552441,0.002061116,0.009084299,0.00046739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006030682,0.00005817772,0.6985984,0.003803672,0.0007527422,0.0004624159,0.005643179,0.00582082,0.08709038,0.002822886,0.01679812,0.1775461],"study_design_scores_gemma":[0.00002908856,0.0001201686,0.8681916,0.0006257879,0.0005395015,0.0005348428,0.003389021,0.01022906,0.04098545,0.001607196,0.0735485,0.0001996847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8724369,0.003695937,0.06212953,0.001541153,0.0001251591,0.0004664318,0.04329933,0.001716744,0.01458886],"genre_scores_gemma":[0.8681079,0.001626129,0.09190108,0.001214296,0.00002334631,0.0004317716,0.03319178,0.0004432763,0.003060381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3089228,"threshold_uncertainty_score":0.6214842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766202796246298,"score_gpt":0.1959997124692176,"score_spread":0.1783376845067546,"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."}}