Extraction study of soil mineral ions and microbial influences on phosphorus and sulfur cycling based on principal component analysis
Bibliographic record
Abstract
Soil microorganisms and mineral ions play a crucial role in the material cycle and energy flow.Different types of sandy, loamy and gravelly soils were selected as experimental sample plots, and the mineral element and microbial diversity of the soils were analyzed by using the curve method with spiked recovery analysis measurement and Illumina high-throughput sequencing technology.Then, principal component analysis and Pearson correlation analysis were applied to extract the factors affecting phosphorus and sulfur cycling by soil mineral ions and microorganisms, and the results showed that the mineral ions in the three different types of soils were mainly Na+, K+, Mg+, and Ca+.The top ten dominant bacterial phyla in relative abundance in different types of soils were Ascomycetes, Actinobacteria, and so on.The eigenvalues of the first four principal components in the principal component analysis of phosphorus-sulfur cycle influencing factors were greater than 1.Therefore, four principal components were selected: soil water content, soil Mg+ content, soil actinomycetes content, and soil Ca+ content.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".