{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01632302,0.001708307,0.001913308,0.007506815,0.0007478145,0.003808962,0.003122287,0.003518301,0.003234567],"category_scores_gemma":[0.01507016,0.0007788408,0.00173975,0.005969605,0.002733957,0.007722406,0.003252665,0.004203775,0.001555852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003527628,"about_ca_system_score_gemma":0.01056071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004368672,"about_ca_topic_score_gemma":0.004214093,"domain_scores_codex":[0.9951274,0.001568863,0.0008115504,0.0007914893,0.001383699,0.0003170123],"domain_scores_gemma":[0.9823522,0.01200598,0.001215718,0.0005339573,0.003251824,0.0006403986],"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":[0.00006008785,0.00008735046,0.0006888314,0.03353611,0.0001312437,0.0001998286,0.0004896182,0.001064323,0.00102603,0.03501512,0.02600601,0.9016954],"study_design_scores_gemma":[0.00001501009,0.0001499335,0.001332307,0.02537336,0.0002186314,0.0003673317,0.0004343067,0.0003589262,0.000511521,0.01261005,0.958562,0.00006660922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002818446,0.984746,0.003549287,0.007857188,0.0007600231,0.00006780224,0.00008975743,0.00006885952,0.002579255],"genre_scores_gemma":[0.001872085,0.9892351,0.004903344,0.00289376,0.0004743602,0.00008778548,0.0001289409,0.00002386335,0.0003808049],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01632302,"threshold_uncertainty_score":0.08632541,"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."}}