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Discussion on the Scope Expression of CNAS Laboratory Accreditation in Veterinary Pathology Testing Field

2022· article· en· W6884759087 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicResearch studies in Vietnam
Canadian institutionsnot available
Fundersnot available
KeywordsAccreditationScope (computer science)Veterinary pathologyStandardizationCertification and AccreditationMedical laboratoryExpression (computer science)

Abstract

fetched live from OpenAlex

At present, due to some differences in the scope expression of veterinary pathology testing accreditation ability, the laboratory accreditation of China National Accreditation Service for Conformity Assessment (CNAS) is not standardized and uniform in the process of application of expanded items in the field of veterinary pathology testing and the process of assessors' evaluation, which makes many laboratories engaged in laboratory animal pathology testing and scientific research fail to obtain relevant qualifications.This article discussed the problems of scope expression in the field of CNAS veterinary pathology accreditation, and compared the expression with other veterinary pathology laboratories in other countries including the United Kingdom, the United States, Canada, New Zealand, and Singapore. The scope expression in medical pathology laboratories accredited by CNAS and some other ISO/IEC 17025 accreditation organizations were also compared. Combined with the accreditation practice of veterinary pathology laboratories in China, this paper put forward some suggestions on the scope expression in veterinary pathology testing field, so as to further unify and standardize the scope expression in veterinary pathology testing field in China, and improve the standardization of accreditation system in China.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.270
GPT teacher head0.547
Teacher spread0.277 · 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.

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
Published2022
Admission routes1
Has abstractyes

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Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicResearch studies in VietnamFrench-language works237,207