Gross primary production and environmental observations for a mature black spruce site located in central Saskatchewan, Canada, for the period Sep-2018 to Dec-2020
Bibliographic record
Abstract
Observations are presented here for the period September 2018 to December 2020 at a mature black spruce site located in central Saskatchewan, Canada. Half-hour means are reported for gross primary production (GPP), precipitation, soil volumetric water content (VWC), soil temperature, air temperature, relative humidity, friction velocity (Ustar), wind speed and wind direction. The site is equipped with a walk-up scaffold tower, 25m in height. GPP was calculated from eddy covariance measurements of net ecosystem exchange (NEE) using a Campbell Scientific CSAT3 sonic anemometer in combination with a Li-Cor LI7200 infrared gas analyzer installed at the top of the tower. NEE was then partitioned into GPP and total ecosystem respiration (Re). Ustar was calculated from the sonic anemometer data during eddy covariance processing. The eddy covariance system became operational starting July 2019. Air temperature and relative humidity were measured at 6m height with a Vaisala HMP45C probe housed in a 12-plate Gill radiation shield; soil temperature at 10 cm depth was measured at two locations with Type-T (copper-constantan) thermocouples and averaged; soil VWC at 7.5 cm depth was measured at two locations with Campbell Scientific CS615 probes and averaged; wind speed and wind direction were measured with an RM Young model 05103-10 wind monitor located at the top of the tower at a height 26 m; precipitation was measured with a Geonor T-200B all-weather weighing precipitation gauge located on the roof of the hut at a height of 3.5 m above ground level.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".