Winter expression of soil nitrogen cycle genes in agricultural soils representing the Boreal Atlantic Maritime climate.
Bibliographic record
Abstract
The expression of the soil nitrogen-fixing (nifH), ammonia oxidizing (archaea and bacteria amoA) and denitrifying (narG, napA, nirK, nirS, and nosZ1) genes are commonly used as indicators for these processes during the non-growing season. This study quantified the transcript abundance profiles of these genes by cDNA for Droplet Digital PCR in soils for the control (native vegetation) and four, regionally relevant crop production systems in Newfoundland. Soil parameters analysed were pH, total carbon, NH4+-N, NO3--N, and water-filled pore space. All genes quantified were expressed in winter suggesting that microorganisms were responding to minute changes in soil parameters; and that N-fixation and (de)-nitrification were co-occurring. Snowpack accumulation led to an increase in all transcript abundance profiles while pure alfalfa stands using mineral fertilizers had the lowest transcript abundance profiles. NO₃⁻-N and pH were negatively correlated to nifH gene expression, suggesting the latter is likely downregulated to balance growth in acidic soil conditions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 0.000 |
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".