{"id":"W4281640466","doi":"10.1002/edn3.315","title":"Evaluation of lake sedimentary ancient <scp>DNA</scp> metabarcoding to assess fungal biodiversity in Arctic paleoecosystems","year":2022,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; Natural Sciences and Engineering Research Council of Canada; Academy of Finland; Svenska Forskningsrådet Formas; Deutsche Forschungsgemeinschaft; Norges Forskningsråd; Agence Nationale de la Recherche; Vetenskapsrådet; National Science Foundation","keywords":"Biology; Environmental DNA; Biodiversity; Amplicon; Ancient DNA; Ecology; Mycobiota; Taxon; Polymerase chain reaction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00249262,0.0003438049,0.0003808686,0.0001848712,0.0005707925,0.00001845398,0.0006059328,0.00006163534,0.006835936],"category_scores_gemma":[0.00006227276,0.0004037796,0.0001600455,0.0004127706,0.0002979261,0.0003348482,0.002592313,0.0002975074,0.001161977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003290674,"about_ca_system_score_gemma":0.000008800628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003077267,"about_ca_topic_score_gemma":0.0004951247,"domain_scores_codex":[0.9945523,0.0006707184,0.0004679645,0.0008414453,0.002864318,0.0006032787],"domain_scores_gemma":[0.9989557,0.0001352678,0.0002382294,0.0004543802,0.000003775335,0.0002125911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001317352,0.0006030521,0.9229704,0.0000125316,0.00006647256,0.00002431023,0.001687961,0.009392665,0.06099431,0.000001315228,0.00351959,0.0007142755],"study_design_scores_gemma":[0.001166991,0.0002566834,0.9664837,0.00001199659,0.000186524,0.00001417515,0.007110911,0.000319954,0.0135286,0.00001929269,0.01069255,0.0002086778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957009,0.0001799741,0.000009237591,0.0001055952,0.0004248573,0.0011706,0.0007796204,0.00002811554,0.0016011],"genre_scores_gemma":[0.9984592,0.00003292407,0.000540577,0.0004595209,0.00002017252,0.0001334816,0.0001387355,0.00001708705,0.0001982896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04746571,"threshold_uncertainty_score":0.9998414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03738097883471758,"score_gpt":0.2305581621192631,"score_spread":0.1931771832845455,"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."}}