{"id":"W3002699777","doi":"10.1111/mec.15472","title":"Ecosystems monitoring powered by environmental genomics: A review of current strategies with an implementation roadmap","year":2020,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":278,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"National Science Foundation; Ministerio de Economía y Competitividad; Saudi Aramco; King Abdullah University of Science and Technology; Sight Research UK; Natural Environment Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche","keywords":"Metagenomics; Genomics; Identification (biology); Data science; Toolbox; Environmental resource management; Environmental monitoring; Biology; Bioindicator; Ecosystem services; Sustainability; Leverage (statistics); Ecology; Computer science; Ecosystem; Genome; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001853921,0.000563729,0.001475015,0.00004799131,0.0001199089,0.00002279861,0.0005818002,0.0001592539,0.001186283],"category_scores_gemma":[0.000005842493,0.000511669,0.0002692101,0.0001462387,0.0002935649,0.0001934943,0.000589365,0.0002937737,0.0004141033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148633,"about_ca_system_score_gemma":0.00003610684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005953648,"about_ca_topic_score_gemma":0.00002956912,"domain_scores_codex":[0.9972235,0.000387957,0.0007340559,0.0008284745,0.0004114277,0.0004145817],"domain_scores_gemma":[0.9985908,0.00003373133,0.0007634007,0.0004442712,0.000003025439,0.0001647284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002685089,0.0006350047,0.01989897,0.04483718,0.001014496,0.0002058293,0.000472765,0.00001387334,0.001361055,0.00001698432,0.003467355,0.9280496],"study_design_scores_gemma":[0.0002997457,0.0006952554,0.000581186,0.003637978,0.000920368,0.0000345457,0.0004667191,0.000001212489,0.0001715947,0.000006605324,0.9926009,0.0005838749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003000262,0.9943485,0.00004564826,0.00002085037,0.000184372,0.001747572,0.0004814737,0.00002714168,0.0001441798],"genre_scores_gemma":[0.0007109276,0.9975505,0.0006731633,0.00005119318,0.00002848755,0.0001853581,0.000738285,0.00005365577,0.000008437684],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9891335,"threshold_uncertainty_score":0.9997335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220011582945445,"score_gpt":0.2979548944224044,"score_spread":0.2759537361278598,"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."}}