Stream water geochemical data from central Nova Scotia (NTS 11-D, E, 21-A and H)
Bibliographic record
Abstract
This Open File (OF) presents the analytical results from stream water samples collected during a reconnaissance-scale biogeochemical and hydrogeochemical survey in central Nova Scotia, Canada, in 1994. Led by C.E. Dunn and G.E.M. Hall of the Geological Survey of Canada (GSC), the water survey resulted in approximately 846 stream water samples collected from approximately 732 locations within a 5,600 km2 area of central Nova Scotia. Simultaneous with the primary survey, a time study was conducted to determine the region's temporal variation in stream water chemistry. The samples underwent analysis for 48 trace and major elements, seven major anions, total organic carbon, pH, conductivity, and alkalinity (as CaCO3). This report provides complementary data to C.E. Dunn’s biogeochemical data published in GSC Open File 3221. This data release includes two versions of the dataset: a 'clean' version, which did not contain the data for quality assurance/quality control reference materials for user convenience and a 'restored' version that closely resembles the original raw data, reporting the control and reference materials in the sequence they were analysed. Furthermore, this report includes comprehensive documentation of the data recovery methodology to promote data transparency. This level of detail is intended to highlight the significance of data rescue initiatives, thereby contributing to the broader efforts to restore, preserve and promote scientific data quality essential for future research.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 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) | 0.009 | 0.003 |
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".