{"id":"W4411882235","doi":"10.1186/s12915-025-02284-x","title":"Biomonitoring 2.0 Refined: observing local change through metaphylogeography using a community-based eDNA metabarcoding monitoring network","year":2025,"lang":"en","type":"article","venue":"BMC Biology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Guelph","funders":"Environment and Climate Change Canada; Government of Canada; Ontario Genomics; Nature Conservancy of Canada; Genome Canada","keywords":"Biomonitoring; Intraspecific competition; Biology; Ecology; DNA barcoding; Biological dispersal; Biodiversity; Amplicon; Evolutionary biology; Polymerase chain reaction; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003008102,0.0004335992,0.0003929016,0.002048898,0.0006938103,0.001056446,0.0009650504,0.000600258,0.002403854],"category_scores_gemma":[0.004248478,0.0004090901,0.0004762046,0.001977579,0.0004177207,0.0008144997,0.00179299,0.000756621,0.001100526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000535238,"about_ca_system_score_gemma":0.0008472997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005727666,"about_ca_topic_score_gemma":0.01511858,"domain_scores_codex":[0.9985551,0.0003204463,0.00008618612,0.000613551,0.0003352858,0.0000894098],"domain_scores_gemma":[0.9968875,0.0006514905,0.00109354,0.000490715,0.0006412002,0.0002355411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005943226,0.0002393659,0.6274573,0.0007654935,0.0005173213,0.000356481,0.00411164,0.0118438,0.1984041,0.003082801,0.009099837,0.1435276],"study_design_scores_gemma":[0.00008359127,0.0003939193,0.807963,0.0001706983,0.0003086021,0.0008128896,0.0009287467,0.06514467,0.06353658,0.003721329,0.05677457,0.0001614482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7171584,0.0003988374,0.2261877,0.0004826644,0.00004603139,0.00074748,0.03730788,0.006475155,0.01119589],"genre_scores_gemma":[0.4982403,0.0001623783,0.4740707,0.0002182676,0.00002930998,0.0009789539,0.02238363,0.0008321695,0.003084242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005727666,"threshold_uncertainty_score":0.01590854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.13580800421936,"score_gpt":0.3176559199839877,"score_spread":0.1818479157646277,"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."}}