{"id":"W4401705670","doi":"10.1038/s42003-024-06695-4","title":"North Atlantic deep-sea benthic biodiversity unveiled through sponge natural sampler DNA","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Agencia Estatal de Investigación; Agencia Nacional de Investigación y Desarrollo; Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona; Svenska Forskningsrådet Formas; Fundación Biodiversidad; European Commission; Research Councils UK; Ministerio de Ciencia e Innovación; Sight Research UK; Natural Environment Research Council; Biodiversa+","keywords":"Benthic zone; Sponge; Environmental DNA; Biodiversity; Natural (archaeology); Oceanography; Geography; Fishery; Ecology; Biology; Geology; Archaeology; Paleontology","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":[0.0006595643,0.0002261774,0.000174881,0.0008485476,0.0003810331,0.0004890246,0.0002962843,0.0002904772,0.0006657724],"category_scores_gemma":[0.001611498,0.0001468306,0.0002090734,0.0007112189,0.0004627571,0.0002599187,0.0007445414,0.0002778576,0.0002998186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328219,"about_ca_system_score_gemma":0.0005625603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008980555,"about_ca_topic_score_gemma":0.04036331,"domain_scores_codex":[0.9994494,0.00009710932,0.00003634137,0.0001752461,0.0001792432,0.00006270267],"domain_scores_gemma":[0.9989512,0.0001822833,0.0003805356,0.0001582109,0.0002471001,0.00008057552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001427003,0.00003740135,0.6797003,0.0002097345,0.0001195583,0.0001557443,0.001266162,0.0005715669,0.2809988,0.0004628798,0.0003989742,0.03593626],"study_design_scores_gemma":[0.000008764458,0.0001322186,0.9501359,0.00007597164,0.0001198628,0.0006426231,0.0009869763,0.002379241,0.03757316,0.0004354457,0.007486885,0.0000229754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844843,0.0006431506,0.009768918,0.0001206395,0.00001341122,0.00003671525,0.00261254,0.00004350914,0.002276949],"genre_scores_gemma":[0.9846478,0.0004397055,0.01127245,0.0001793779,0.000009656649,0.00004037587,0.002435824,0.00001646288,0.0009585261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008980555,"threshold_uncertainty_score":0.01785654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563731699845354,"score_gpt":0.2615825255796718,"score_spread":0.2259452085812183,"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."}}