Growing season trace gas and environmental measurements at an experimentally-warmed mesic tundra site
Bibliographic record
Abstract
The data set was collected as an ongoing study at the Cape Bounty Arctic Watershed Observatory International Tundra Experiment (ITEX) site examining the environmental controls over trace gas respiration in High Arctic mesic tundra. The goal of the study is to characterize the relationships between plant-available nitrogen and productivity and to see how these relationships are manifested in hyperspectral signatures. These data files contain trace gas concentrations and environmental measurements from an ITEX mesic tundra experiment. Snow fences were set up at two sites of each replicate to determine the effect of snow depth on soil respiration. Four treatments were sampled with eight replicates: snow-control, snow-warmed, control-control, and control-warmed. PVC collars (20 cm diameter) were placed on the ground from which opaque, static, non-steady state chambers were used to obtain a 25 mL sample in 12-mL pre-evacuated glass vials (Exetainer 739B, Labco Limited, Buckinghamshire, UK). Vials were analyzed using gas chromatography according to methods by Wilson and Humphreys (2010). Environmental measurements (soil moisture, soil temperature, and active layer depth) were taken twice weekly at site adjacent to the collars.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".