{"id":"W4393933133","doi":"10.1002/edn3.544","title":"Correction to “<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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; Community structure; Geography; Fishery; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006098143,0.002043232,0.002380189,0.004247297,0.005784635,0.004208766,0.004392401,0.006064548,0.1103026],"category_scores_gemma":[0.10703,0.001754435,0.002089351,0.003666078,0.003361986,0.00230985,0.003693139,0.01189871,0.04136498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00536177,"about_ca_system_score_gemma":0.01200297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.100021,"about_ca_topic_score_gemma":0.1044064,"domain_scores_codex":[0.9924595,0.0009972216,0.001402654,0.0009245371,0.003386512,0.0008295642],"domain_scores_gemma":[0.9200932,0.01346649,0.003001835,0.004069919,0.05653749,0.002830935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002372108,0.000003522073,0.0001003283,0.00006658308,0.000009817662,0.0001278307,0.00005213229,0.00002788318,0.00007569211,0.0002185329,0.9971781,0.002115872],"study_design_scores_gemma":[0.0001144797,0.00002036775,0.003007257,0.0004255472,0.00006955134,0.0008226269,0.0002589754,0.0005528091,0.0007468124,0.001795002,0.9920855,0.0001010032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0006063781,0.0004429952,0.002823672,0.08889052,0.8954346,0.0000667249,0.006312184,0.002635768,0.002787196],"genre_scores_gemma":[0.05078866,0.004005616,0.02498441,0.2748473,0.2348099,0.0007874049,0.02540321,0.01254592,0.3718275],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8999789,"threshold_uncertainty_score":0.3689991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009171072142049132,"score_gpt":0.1998328350708495,"score_spread":0.1906617629288004,"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."}}