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Record W2017177808 · doi:10.4141/p03-001

Effect of altitudinal gradient on yield and quality of sub-alpine meadow on the Xiaowutai Mountain in northern China

2004· article· en· W2017177808 on OpenAlexvenueno aff
Yan Dong, Quan‐Ru Liu, Xiaoxia Huang

Bibliographic record

VenueCanadian Journal of Plant Science · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGrazingDry matterNutrientAgronomyBiomass (ecology)Altitude (triangle)PhosphorusYield (engineering)Environmental scienceOrganic matterBiologyChemistryEcologyMathematics

Abstract

fetched live from OpenAlex

Herbage yield increased with elevation from 2200 to 2600 m and then declined until 2800 m. Altitude did not affect herbage fat, acid detergent fibre, calcium or sulphur concentrations, but did influence herbage organic matter, crude protein and phosphorus concentrations. It is recommended that livestock should be rotationally grazed along an altitudinal gradient on Xiaowutai Mountain to meet their dry matter (DM) and nutrients requirements in summer grazing systems. Key words: Herbage biomass, crude protein, acid detergent fibre, minerals

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 score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.025
GPT teacher head0.223
Teacher spread0.199 · 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

Citations6
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Plant Science→Same topicBotany and Plant Ecology Studies→French-language works237,207→