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Record W1986190218 · doi:10.5539/ass.v9n3p50

A Discussion on China’s Western Region Speeding up the Construction of Agricultural Product Quality and Safety System

2013· article· en· W1986190218 on OpenAlexvenueno aff
Hua Yu, Yanbin Qi, Yubao Yan, Hua Yao Wu, Diqin Chen, Fei Yang

Bibliographic record

VenueAsian Social Science · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureProduct (mathematics)BusinessAgricultural productivityStandardizationQuality (philosophy)ChinaGood agricultural practiceEnvironmental economicsComputer scienceEconomicsGeography

Abstract

fetched live from OpenAlex

In China’s western region, to speed up the construction of agricultural product quality and safety system by adopting positive and effective measures has important practical significance. This paper mainly focuses on the issue of China’s western region accelerating the construction of agricultural product quality and safety system. The main contents include: accelerate the construction of standard agricultural product base and push forward the standardization process of agricultural production; examine the agricultural inputs, agricultural production, and agricultural product market carefully and make sure the quality of agricultural product and promote the institutional supervision over agricultural product quality; enhance the agricultural quality and safety monitoring and improve the tracing system of agricultural product quality and safety; strengthen the organization and the leadership, focus on the pilot and demonstration work for standardized agricultural production, and continue to improve the level of agricultural product quality and safety and market competitiveness in China’s western region.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.538

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.243
Teacher spread0.223 · 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 teacher head, 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

Citations2
Published2013
Admission routes1
Has abstractyes

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