Physicochemical parameters of groundwater in coastal sandy aquifer
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
In the Yangjiang profile, a total of 29 (27 groundwater samples and 2 surface water samples: seawater and aquaculture wastewater) and 32 (29 groundwater samples and 2 surface water samples: seawater and aquaculture wastewater) samples were collected on August 12, 2020 (wet season) and November 8, 2020 (dry season), respectively. The measurement procedures for the trace metals (As, Ba, Cd, Cr, Fe, Mn, Pb, and Zn) in groundwater samples were described elsewhere (Luo et al., 2021). In brief, the samples with high salinity (>1) were first diluted and then analyzed using inductively coupled plasma mass spectrometry (ICP–MS) (Agilent 7900 Series, USA). The detection limits (μg/L) of trace metals were 0.12, 0.20, 0.05, 0.11, 0.82, 0.12, 0.09, and 0.67 for As, Ba, Cd, Cr, Fe, Mn, Pb, and Zn, respectively. A mixed standard solution and two standard reference materials were used to construct the calibration curve and control the analytical quality, respectively. The recoveries of the standard reference materials were 105.4%, 101.7%, 102.6%, 104.0%, and 103.4% for As, Cd, Cr, Pb, and Zn, respectively, indicating that the measured results were within the range of the certified values (Luo et al., 2021). Reagent blanks were determined for each sample analysis and trace metals were undetectable therein.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.216 | 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 it