MétaCan
Menu
Back to cohort
Record W2358655750

Study on the Mechanism of Salt Accumulation in Songnen Plain in Spring

2007· article· en· W2358655750 on OpenAlexaff
Dongmei Zheng

Bibliographic record

VenueJournal of Inner Mongolia University · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsScience North
Fundersnot available
KeywordsGeothermal gradientSpring (device)GeologyHydrology (agriculture)Soil salinityHot springMonsoonSalt (chemistry)Soil waterEnvironmental scienceSoil scienceGeotechnical engineeringOceanographyGeophysics
DOInot available

Abstract

fetched live from OpenAlex

Songnen plain is located in Northeast of China,which belongs to the semiarid monsoon climate,with the entirely difference between draught and wet seasons.The temperature ascends abruptly in spring,together with the strong wind,which causes the vast evaporation of soil water.The distribution pattern of the soil water,geothermal and soil salt presents a distinct difference to the region without the effect of frozen and thawing during the thawing season. The distribution pattern was studied scientifically.It reveal that the structure of contour of saturated soil water presents like“”and that of total salt amount and ESP looks like “∧”. The gradient of geothermal appears the bi-directional feature.There are double frozen fringes in the geothermal structure during thawing season.The geothermal pattern combines the soil water field and soil ion field with closely correlations.Based on the system dynamic theory,a combined model between soil water,geothermal and salt was built up to seek the mechanism of salt built-up in spring.The study will supply a theory foundation to develop the saline soil resource in songnen plain.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.034
GPT teacher head0.235
Teacher spread0.202 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Inner Mongolia UniversitySame topicRemote Sensing and Land UseFrench-language works237,207