{"id":"W4285393502","doi":"10.1111/mam.12302","title":"Environmental <scp>DNA</scp> and metagenomics of terrestrial mammals as keystone taxa of recent and past ecosystems","year":2022,"lang":"en","type":"article","venue":"Mammal Review","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Svenska Forskningsrådet Formas; Deutsche Forschungsgemeinschaft; Biodiversa+; Norges Forskningsråd; Agence Nationale de la Recherche; National Science Foundation","keywords":"Metagenomics; Environmental DNA; Ecosystem; Ecology; Biology; Threatened species; Keystone species; Biodiversity; Environmental change; Habitat; Population; Geography; Climate change","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002369804,0.0002567838,0.000418914,0.003176125,0.0002223195,0.00143752,0.000400901,0.0007285075,0.001726094],"category_scores_gemma":[0.001885677,0.0001199197,0.0003978244,0.003463805,0.0004384909,0.001098261,0.000839276,0.000584292,0.0005674657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003416698,"about_ca_system_score_gemma":0.0005873064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100269,"about_ca_topic_score_gemma":0.00307034,"domain_scores_codex":[0.9994542,0.0001365506,0.00006499727,0.0001558487,0.0001530811,0.00003519372],"domain_scores_gemma":[0.9975302,0.0009871785,0.0005585458,0.0001420343,0.0006187207,0.0001633364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003535277,0.00005213332,0.1892224,0.0157604,0.001260763,0.001081717,0.001427247,0.001479584,0.1514047,0.007348062,0.0132165,0.617393],"study_design_scores_gemma":[0.00001182353,0.0002821667,0.6170915,0.005948,0.001052082,0.002750469,0.001751222,0.001270442,0.01967894,0.009167064,0.3408909,0.0001053217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2176098,0.7094837,0.02475043,0.01045906,0.0007176171,0.0001013178,0.02277762,0.000411138,0.01368927],"genre_scores_gemma":[0.4752539,0.4273379,0.06183395,0.005268126,0.001351224,0.0001521063,0.02365362,0.0002426156,0.004906607],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003176125,"threshold_uncertainty_score":0.01253289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932121814931615,"score_gpt":0.2207576572462893,"score_spread":0.2014364390969731,"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."}}