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Record W2347433357

Study on properties of soil loss from sloping farmland of black soil based on a runoff event

2008· article· en· W2347433357 on OpenAlex
Yang Xue-ming

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGanhan diqu nongye yanjiu · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsSurface runoffSedimentEnvironmental scienceErosionHydrology (agriculture)NutrientWatershedPrecipitationSoil lossPhosphorusNitrogenSoil scienceGeologyGeomorphologyChemistryGeographyEcologyGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

A typical undulating farmland in black soil region of Northeast China was taken as a case study to analyze the properties of soil loss caused by erosional precipitation events based on measurement of sediment and its nutrients and particle size in different geomorphic positions and the outlet of the watershed.The results showed that soil loss only happened in high rainfall intensities.This study takes the runoff event on August 1st,2006 for example.The sediment concentration in runoff is in range of 1.0~2.5 g/L.Nutrient enrichment occurred in sediment and the enrichment ratio of carbon and nitrogen is 2.10 and 3.31,respectively.The soluble carbon and nitrogen in runoff is 2.47~3.93 mg/L and 1.61~3.28 mg/L.The loss of soluble nutrients is also an important way of nutrient loss under water erosion.The aggregate size distribution of the eroded sediment was drastically different from that of the original soil.Aggregates smaller than 0.053 mm,especially the size between 0.002 mm and 0.02 mm,is the main form of the sediment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.201
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it