Mackenzie Delta Lake L520 thermistor and meteorological data 2022-2023, Canada
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
Thermistor array, sediment temperature, and meteorological data for lake L520 ('Dock Lake') in the Mackenzie Delta near Inuvik, Northwest Territories, Canada. Data include in situ time series profiles of sediment temperature, and water column temperature, specific conductivity, dissolved oxygen, and water level. Sediment temperature data is from HOBO Onset UTBI-001 loggers. Temperature data is from RBR solo loggers. Specific conductance (SC) data is from Onset HOBO U24-001 loggers. Dissolved oxygen data is from PME miniDOT loggers. Water level data is from HOBO Onset U20L-04 loggers. Meteorological data is from a 2 meter (m) tall station deployed on a floating platform in the middle of the lake and includes: relative humidity and air temperature (Onset S-THC-M002), wind speed (Onset S-WSB-M003), wind direction (Onset S-WDA-M003), incoming shortwave radiation (Apogee pyranometer), and incoming longwave radiation (Apogee pyrgeometer). In-lake data is provided for three regions of the lake with differing depths along a horizontal transect: 2.1 m, 3.2 m, and 4.8 m depths. Data was collected over 2 separate periods: Aug 13, 2022 to Jun 4, 2023 for all three depths, as well as Jun 8 to Aug 4, 2023 for the 4.8 m depth. Meteorological data only collected during summer 2023. The purpose of this dataset is to support the examination of physical limnology in Arctic deltas.
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 | 0.001 |
| 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 | 0.001 | 0.002 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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