Monitoring Salinization in the Alberta Canal and Antwerp Harbor
Bibliographic record
Abstract
The dataset contains hourly averaged samples of water conductivity, temperature and depth from 18 measurement stations distributed across the Alberta Canal and Antwer Harbor area. - conductivity EC25 µS/cm specific electrical conductivity of the water at reference temperature of 25°C measured at the depth position of the sensor - proxy for salinity- water temperature °C water temperature measured at the depth position of the sensor- water depth mm relative water depth (depended on sensor position) - height of the water column above the sensor derived from pressure measurement The included files contain: AquaSpice_CS3_AntwerpHarbor_Sensors_Conductivity.xlsx: Conductivity readings AquaSpice_CS3_AntwerpHarbor_Sensors_Depth.csv: Depth readings AquaSpice_CS3_AntwerpHarbor_Sensors_Temperature.csv: Temperature readings. AquaSpice_CS3_AntwerpHarbor_Sensors_Locations.csv: Latitude/Longitude of the measurement stations
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.007 |
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".