{"id":"W2981905092","doi":"10.1111/gcb.14886","title":"A new approach to molecular biosurveillance of invasive species using DNA metabarcoding","year":2019,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Environmental DNA; DNA; Ecology; Computational biology; Biology; Biodiversity; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003008773,0.00124415,0.0008828549,0.004040452,0.000609158,0.001556999,0.00119984,0.001050552,0.0007739596],"category_scores_gemma":[0.004894067,0.0006886537,0.001115806,0.001865124,0.0006506084,0.001337998,0.001236731,0.00178151,0.0007688642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004651931,"about_ca_system_score_gemma":0.0009930398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002549539,"about_ca_topic_score_gemma":0.006000378,"domain_scores_codex":[0.997565,0.0005311638,0.0002130152,0.0009315839,0.0006570392,0.0001022106],"domain_scores_gemma":[0.9968452,0.0008001763,0.001029278,0.0003455727,0.0007906013,0.000189055],"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":[0.0002771135,0.0002378064,0.02813672,0.001501516,0.0006407273,0.0005122221,0.0009586057,0.002266058,0.6910893,0.003359611,0.001827557,0.2691928],"study_design_scores_gemma":[0.0001844655,0.001995786,0.1325106,0.0008022702,0.001514169,0.005854879,0.001237629,0.1230763,0.6202218,0.008538372,0.1034106,0.0006530433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09428861,0.00330485,0.892462,0.0007049562,0.0002933067,0.0007709697,0.002558395,0.002724215,0.002892834],"genre_scores_gemma":[0.07118802,0.001046041,0.9240894,0.0002965431,0.00005849317,0.0002769618,0.001748705,0.0001091,0.001186837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004040452,"threshold_uncertainty_score":0.01591206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0589111396744993,"score_gpt":0.2526020043221354,"score_spread":0.1936908646476361,"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."}}