Spatial and Temporal Variation Characteristics of Cation and Anion in Phragmites communis-Soil System,Heilongjiang Province
Bibliographic record
Abstract
This paper got the contents of the chloride( Cl-),nitrate( NO-3),sulfate( SO2-4),potassium( K+),sodium( Na+),magnesium( Mg2 +),calcium( Ca2 +) in soil and Phragmites communis by ion chromatography and elemental analysis of 5 sampling sites in Heilongjiang Province,from June to October in 2011. The objective of this study was to analyze spatial and temporal variation characteristics of chloride( Cl-),nitrate( NO-3),sulfate( SO2-4),potassium( K+),sodium( Na+),magnesium( Mg2 +),calcium( Ca2 +) in Phragmites communis-soil ecosystem in Heilongjiang Province. The main results were drawn as following: The average contents of chloride,nitrate,sulfate,potassium,sodium,magnesium,calcium in Phragmites communis were higher than in soil. The spatial variation of chloride,potassium,sodium in soil were homogeneous,Daqing reached the highest content during this three kinds of anions. The spatial variation of magnesium and calcium were homogeneous,Mudanjiang reached the highest content during this two kinds of anions. Tongjiang and Daqing reached the lowest content. The spatial variation of chloride,nitrate,sulfate,potassium,sodium,magnesium,calcium in Phragmites communis were lowest in Tongjiang. The influence factor maybe the climatic.
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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 | 0.001 | 0.001 |
| 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".