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Record W4244379651 · doi:10.21065/advfoonutrsci.4.8

REGULATORY COMPLIANCE AND STANDARD LABORATORY TESTS CAN POTENTIALLY IMPROVE THE PUBLIC HEALTH AND FOOD SAFETY

2020· article· en· W4244379651 on OpenAlexvenueaboutno aff
Taha Nazir

Bibliographic record

VenueAdvanced Food and Nutritional Sciences · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessFood safetyAccreditationMarketingProduct (mathematics)Quality (philosophy)Food processingBlueprintFood packagingFood spoilageGovernment (linguistics)Risk analysis (engineering)BiotechnologyEngineeringMedicineFood science

Abstract

fetched live from OpenAlex

IntroductionIdentification and handling of the food spoilage, food illness and food borne pathogens is a potential risk. That is continuously challenging the food experts, businesses owners and authorities. Subsequently, the manufacturing, supplying and distribution of finished food products become a crucial task and need constant check at every step. Thus, the standard laboratory testing may potentially assure the safety and efficacy of semimanufactured foods, edible ingredients, and finished products. Particularly, it helps to equip the industry with most current methods and high-level IT developed cutting edge technology. That simultaneously protects the manufacturer and consumers by complying with foodsafety standards. [2] Hence, the food and health expert are constantly working to review and update the blueprints of food microbiology testing. That is important to meet the requirement of the indigenous food and health standards. Whereas, the nutrition and composition analysis also offer the retailers, importers and manufacturers to understand and tackle the raised concerns. That may include the testing of nutrients, vitamins and other constituents of all range of food product destined for human consumption i.e. additives, excipients, preservatives, color, flavor etc.Thus, our local government official always encourages the local Canadian businesses to adopt the current art of technology, conduct accurate and timely examination of food. The food and nutrition tests should be performed under ISO/IEC 17025 accredited institutions under accredited and rigorous quality management system.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.963

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 head0.039
GPT teacher head0.247
Teacher spread0.208 · 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 designOther design
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
Published2020
Admission routes2
Has abstractyes

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