Supplementary material to "Hotspots and hot moments of metal mobilization: dynamic connectivity in legacy mine waters"
Bibliographic record
Abstract
Section S1. Supplementary Information on methodology Hydrological data collection and analysis.Water level loggers (Levelogger 5, Solinst Canada Ltd.) were installed at sites 1, 2, 3A, and 3B, where the water level and flow could be continuously monitored and quantified.The water level loggers at levels 1 and 2 recorded measurements from March 2022 to approximately January 2024 and the loggers at levels 3A and 3B recorded measurements from February 2022 to March 2024.The "Levelogger Software 4.6.2"was used to retrieve the recorded data.For precise measurement of water levels and flow at the outflow points of sites 1 and 2, plastic weirs were constructed and installed.Conversely, sites 3A and 3B were equipped with small spillways instead of weirs.The measurements obtained were critical for establishing the relationships between water levels and discharge rates.From Henderson (1996), the formula for triangular measuring weirs was used:
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.803 | 0.205 |
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".