COI and 18S metabarcoding data from Hidden Lake (Banff National Park, Canada) over two rotenone applications between 2018 and 2020.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Water samples were taken in Hidden Lake at five different time points around two rotenone applications: (i) five weeks prior to the first rotenone application, on July 12 2018; (ii) approximately three weeks after the first application of rotenone, on 7 September 2018; (iii) approximately 10 months after the first rotenone application, on 10 July 2019; (iv) four weeks following the final treatment of rotenone on the 17 September 2019; and (v) one year after the final rotenone treatment, on 19 August 2020. For each time point there is a pelagic, a littoral and a profundal sample. COI and 18S metabarcoding methods were used to produce community data. The objective of this study was to assess the non-target effect of rotenone application (in summer 2018 and 2019) on aquatic communities (i.e. phytoplankton, fungi, zooplankton and benthic macroinvertebrates).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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 it