{"id":"W4414620187","doi":"10.1002/ece3.72219","title":"A Comprehensive <scp>DNA</scp> Barcode Reference Library for the Macroinvertebrates of Scottish Seagrass Beds Using Oxford Nanopore Flongle Flowcells","year":2025,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"SGS (Canada)","funders":"University of Aberdeen","keywords":"Barcode; Nanopore sequencing; Minion; Seagrass; DNA barcoding; Invertebrate; DNA sequencing","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":[0.001508528,0.0007283887,0.0006974872,0.002390289,0.0009838463,0.001182318,0.001024306,0.0007701012,0.00241236],"category_scores_gemma":[0.002923785,0.0003673667,0.0007098506,0.001978686,0.0004325529,0.0005950973,0.001019176,0.0005497891,0.001308045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007555485,"about_ca_system_score_gemma":0.00229244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251749,"about_ca_topic_score_gemma":0.06505412,"domain_scores_codex":[0.9984657,0.0001422256,0.0001342808,0.0004052224,0.0006766572,0.0001760428],"domain_scores_gemma":[0.9986192,0.0001706082,0.0002826094,0.0001924922,0.0006278023,0.0001072936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002010655,0.0001006001,0.01191026,0.0003827761,0.00006261488,0.0003222513,0.0005810516,0.001407248,0.9059581,0.0009735072,0.002372983,0.07572745],"study_design_scores_gemma":[0.0001510375,0.001651954,0.2764965,0.0003955625,0.0003612542,0.001802678,0.0006406754,0.01335194,0.5244535,0.0008828374,0.1795857,0.0002264281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.623387,0.002154111,0.3093514,0.0003938741,0.0001964728,0.001397156,0.05210274,0.002571042,0.008446177],"genre_scores_gemma":[0.3896038,0.00186786,0.4683228,0.0009155417,0.0001010991,0.001331905,0.1256219,0.0007851162,0.01144993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02251749,"threshold_uncertainty_score":0.0447728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462452890394722,"score_gpt":0.2171678817049659,"score_spread":0.2025433528010187,"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."}}