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Record W2385052576

Resource Use of Rodent Community in the Sandland of Erdos Plateau III── Analysis of Using Pattern for Time

2002· article· en· W2385052576 on OpenAlexaff
Wang Li-min, Yanlin Zhou, Weidong Bao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Changes in China
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsRodentPhodopusPopulationBiologySeasonalityZoologyGround squirrelPlateau (mathematics)EcologyHamsterGeographyDemographySquirrel monkey
DOInot available

Abstract

fetched live from OpenAlex

In Kubuqi sandland of Erdos plateau, from 1991 to 1996, we collected the datum of 42 months about three-toed jerboa (Dipus sagitta),dersert hamster (Phodopus roborovskii), Chinese jird (Meriones meridianus), striped hamster (Cricetulus barabensis),five-toed jerboa (Allactaga sibirica), and ground squirrel (Citellus dauricus), and we focused to describe their seasonality, inter annual change and trends by moving average and analysis of PCA. The results show: First, their population dynamics are all single peak in one year, and for every month except June, one of six species will have the highest peak of its number at this year. The seasonable dynamics for six population is different, three-toed jerboa has the most remarkable seasonal change, five-toed jerboa, desert hamster, Chinese jird and striped hamster have a decline successively, and the last is ground squirrel. Second, for inter annual dynamics, the change three-toed jerboa and five-toed jerboa are more stable, Chinese jird and desert hamster are the same as parabola, striped hamster and ground squirrel have a marked ascendant. By comparison with seasonal dynamics, the inter annual fluctuation of six species is not obvious. Third, six species have a remarkable descending or ascending trends. The last, we analyzed the using pattern of rodent community for time.

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 score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.074
GPT teacher head0.265
Teacher spread0.191 · 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
Published2002
Admission routes1
Has abstractyes

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