Data for: Differential structure and function of phosphorus-cycling microbial communities in organic and upper mineral soil horizons across a temperate rainforest chronosequence
Bibliographic record
Abstract
Field campaign sampling dunes along the Big Bay chronosequence, on the west coast of New Zealand’s South Island at the mouth of the Awarua River (44.2988°S, 168.0672°E) in November 2018. Dunes with approximate ages of 300, 800 and 4000 yBP (i.e., corresponding to earthquake events in the years 1717, 1220 and ~4000 years ago; also referred as BBX1717, BBX1220 and BBX04) were chosen for detailed soil sampling. We paired analysis of soil properties with chemical and microbial analysis. We quantified P-cycling microbial communities using qPCR to estimate bacterial and fungal abundance and p-cycling genes and used high-throughput sequencing to estimate microbial community diversity. Data are from 3 dunes with four representative sampling locations. Each sampling point consisted of the removal of a block of soil 25 x 25 cm to a depth of ~25 cm to obtain both the organic horizon and mineral soil immediately beneath: n = 24.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.016 |
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".