Bibliographic record
Abstract
Complete dataset for Harvey Lake sediment samples analyzed using Itrax X-ray fluorescence core scanning (XRF-CS). Sediment samples were recovered Harvey Lake, NB, Canada in summer 2016 using an Ekman grab sampler. Twenty cubic cm of sediment was subsampled, centrifuged and dried, loaded into custom-design sample reservoirs, and analyzed using an Itrax XRF-CS device at 0.2 mm resolution for 15 seconds per interval at 30 kV and 19 mA. See Gregory et al., (submitted) for more thorough description of methodology. Elemental concentrations are presented in counts per second MSE = Mean square Error Surface Sample and position are present in mm Mo Inc = Incoherent X-ray Scatter Mo Coh = Coherent X-ray Scatter
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.
How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.012 | 0.011 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.152 |
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; both teacher heads agree on what is shown here.
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".