Bibliographic record
Abstract
Soil CO2 emissions or soil respiration (Rs) data were measured at an eastern white pine forest (Pinus strobus L.) planted in 1974 as monoculture stands north of Lake Erie in southern Ontario, Canada. The forest site is part of the Turkey Point Observatory and has been associated with AmeriFlux and global Fluxnet initiatives, where it is known as CA-TP3. Half hourly Rs was recorded using an automated soil CO2 flux measurement system from 2017 to 2019 (excluding winter months). It was comprised of three main components: the gas analyzer (hosted in an analyzer control unit) (LI-8100A), long-term measurement chambers (LI8100-104), and a multiplexer to allow for multiple chamber measurements (LI-8150) (LI-COR Lincoln, Nebraska, USA). Chambers were equipped with a soil temperature (Ts) and soil moisture (SM) probe at 5 cm depth installed outside of the collar. The soil collars had internal diameter of approximately 20 cm, a height of 11.5 cm, and a thickness of 1 cm. Each collar was inserted approximately 7-8 cm into the soil surface, with 3 cm remaining above. The measurement chambers remained open when not taking measurements. Throughout the growing season, any vegetation growth was removed from inside the collars to eliminate potential photosynthesis effects. Tree density is 1583 tree per ha, Leaf Area Index is 6.6, Stand Basal Area is 40.0 m2 ha–1 and above ground biomass is 86.68 t C ha–1. Topography in the area is predominantly flat with occasional 0.5-3.0% undulating slopes. The soil at the site is well drained with a low water holding capacity and classified as brunisolic grey-brown luvisols in the Canadian System of Soil Classification and is composed of ~98% sand. The climate in the region is cool temperate with a 30-year mean annual temperature of 8.0 °C and mean annual precipitation of 1036 mm.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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".