{"id":"W3013711054","doi":"10.1073/pnas.1918741117","title":"DNA metabarcoding reveals metacommunity dynamics in a threatened boreal wetland wilderness","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Environment and Climate Change Canada; University of Guelph; University of Victoria; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Genome Canada","keywords":"Metacommunity; Threatened species; Ecology; Wetland; Occupancy; Ecosystem; Environmental science; Watershed; Biodiversity; Habitat; Geography; Biology; Biological dispersal","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009123018,0.0001058079,0.0001950457,0.00004743692,0.0002370063,0.00001396308,0.001020469,0.0000518012,0.00003811506],"category_scores_gemma":[0.0002618416,0.0000752544,0.00006570433,0.0007463103,0.001377637,0.0004986874,0.0008850301,0.0001787459,0.000005777606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677389,"about_ca_system_score_gemma":0.000002006035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009106809,"about_ca_topic_score_gemma":0.000001734285,"domain_scores_codex":[0.9983515,0.00001511055,0.0002595577,0.0002401199,0.0009708075,0.0001628673],"domain_scores_gemma":[0.9995853,0.00008596219,0.0002631931,0.000009062104,0.00001281742,0.00004366423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001165535,0.00003724214,0.9169378,0.00002096889,0.00001198338,1.305972e-8,0.000459391,0.0001307582,0.07972953,0.002233176,0.0002742786,0.0001532357],"study_design_scores_gemma":[0.0001784175,0.00003096418,0.9393567,0.00002590555,0.00001621947,0.000001390385,0.0008680091,0.001465623,0.05005551,0.007881381,0.00002940659,0.00009050866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827548,0.00003884559,7.620268e-7,0.004671469,0.000006067012,0.0001629759,0.00002607065,0.000008192523,0.01233085],"genre_scores_gemma":[0.9965513,0.0000574127,0.002891438,0.0004498051,0.00001066379,0.00000432578,2.475114e-7,0.000002697766,0.00003216042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02967402,"threshold_uncertainty_score":0.507596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05077189746876765,"score_gpt":0.2673763957317284,"score_spread":0.2166044982629608,"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."}}