{"id":"W4391854619","doi":"10.1002/edn3.517","title":"<scp>eDNA</scp> metabarcoding reveals riverine fish community structure and climate associations in northeastern Canada","year":2024,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ontario Forest Research Institute; Dalhousie University; Yukon Department of Environment; Government of Newfoundland and Labrador; Natural Resources Canada; Newfoundland and Labrador Centre for Applied Health Research; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fish <Actinopterygii>; Community structure; Geography; Ecology; Fishery; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002543435,0.0002980691,0.0002693132,0.00004986782,0.0005297295,0.00005996153,0.0002807608,0.0000867901,0.0004730448],"category_scores_gemma":[0.00003374792,0.0003096063,0.0000568291,0.0001573315,0.0003519269,0.0003638465,0.001174055,0.0005172841,0.0001197494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390444,"about_ca_system_score_gemma":0.00000503136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0577215,"about_ca_topic_score_gemma":0.2908438,"domain_scores_codex":[0.9981154,0.0001869697,0.0002863742,0.0004304013,0.0004760663,0.0005047928],"domain_scores_gemma":[0.9992478,0.000249321,0.00007549309,0.0002788692,5.383551e-7,0.0001479869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001334231,0.00005432385,0.9841899,0.00002335079,0.00004780876,0.00003460647,0.001261567,0.0001489774,0.01161338,0.000008455001,0.001856516,0.0007597658],"study_design_scores_gemma":[0.0002306854,0.00004800204,0.9884319,0.00002634675,0.00004012934,0.00001172295,0.001511678,0.0001070201,0.001337101,0.00008531377,0.00802115,0.00014892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951504,0.0003209494,0.000002135197,0.0001771187,0.0001797683,0.0002744753,0.00243556,0.00004254441,0.001416992],"genre_scores_gemma":[0.9981873,0.0003307072,0.000347203,0.0004230302,0.00002459012,0.00001039683,0.000177114,0.00002596894,0.0004737153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2331223,"threshold_uncertainty_score":0.9999356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009639766493133146,"score_gpt":0.1951453418653057,"score_spread":0.1855055753721726,"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."}}