{"id":"W4406689079","doi":"10.1002/edn3.70045","title":"<scp>DNA</scp> Metabarcoding Improves the Taxonomic Resolution of Visually Determined Diet Composition of Beaked Redfish (<i>Sebastes</i> sp.)","year":2025,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Chicoutimi; Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Fisheries and Oceans Canada","keywords":"Sebastes; Fishery; Composition (language); Biology; Zoology; Fish <Actinopterygii>; Art","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003723319,0.000331644,0.0004083157,0.00007802906,0.0003797702,0.00001932757,0.0005718102,0.00011852,0.0001834589],"category_scores_gemma":[0.00003923701,0.0002952065,0.0002311969,0.0001974253,0.001500955,0.0003094694,0.001169656,0.0001913721,0.0001311308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004972376,"about_ca_system_score_gemma":0.000004280126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001142629,"about_ca_topic_score_gemma":0.00001709293,"domain_scores_codex":[0.9978014,0.0001610449,0.0005880452,0.0005425229,0.0004950546,0.0004119231],"domain_scores_gemma":[0.9987241,0.000261966,0.0004110602,0.0005250299,0.000002221033,0.00007563335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006323436,0.0003079367,0.1437573,0.00002992713,0.0001070809,0.000002518089,0.0004263196,0.000219575,0.8510802,0.00002919738,0.002712411,0.001264218],"study_design_scores_gemma":[0.00069751,0.0002861484,0.6868024,0.00004452563,0.0001690006,0.000002223303,0.001139686,0.0002888484,0.3052951,0.00007638069,0.005071044,0.0001270915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914488,0.0002509785,0.0001716901,0.0001244387,0.0001917725,0.0006958154,0.000170582,0.00003108127,0.006914891],"genre_scores_gemma":[0.9962574,0.0002376256,0.002191431,0.0002162172,0.00002192453,0.00003662779,0.00005728347,0.00001923267,0.0009622673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5457852,"threshold_uncertainty_score":0.99995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00862366500909608,"score_gpt":0.2001592836476967,"score_spread":0.1915356186386006,"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."}}