Effects of municipal wastewater effluents on the invertebrate microbiomes of an aquatic-riparian food web
Bibliographic record
Abstract
N, indicating exposure to MWWEs and transfer of MWWE-derived nutrients to riparian consumers. Within sites, insect microbiomes varied after metamorphosis with a greater proportion of endosymbionts and effluent-associated bacteria and decreased alpha diversity in adults, and the microbiomes of Tetragnathidae spiders were dominated by endosymbionts (mainly Rickettsia and Wolbachia) compared to all other taxa. Downstream, larval caddisfly (Hydropsychidae) microbiomes had a significantly lower proportion of endosymbionts (Rickettsia) and higher diversity, and Araneidae spiders also had higher diversity. However, there were no significant downstream changes in endosymbiont proportions or alpha diversity of larval and adult chironomids, larval and adult mayflies, larval stoneflies, or Tetragnathidae spiders. Most downstream invertebrates (except larval Chironomidae, adult Diptera, and Tetragnathidae spiders) had altered beta diversity (community compositions); however, host taxonomy explained more of the variation in microbiome composition than site or the interaction between them did. Overall, MWWE bacteria and nutrients were incorporated into most insect larvae and retained throughout metamorphosis, however there were taxa-dependent alterations in downstream insect microbiomes and minimal microbiome alterations to their riparian spider predators.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".