MétaCan
Menu
Back to cohort
Record W3006508038 · doi:10.5539/jfr.v9n2p1

Evaluation of a Real Time PCR Assay Method for the Detection of Genetically Modified Organisms in Food Products

2020· article· en· W3006508038 on OpenAlexvenueno aff
Eleni Spanea, Theofania Tsironi, Efstathia Tsakali, Anthimia Batrinou, Valentina Stefanou, Dionisios Antonopoulos, Stamatios Koussissis, John Tsaknis, Jan Van Impe, Dimitra Houhoula

Bibliographic record

VenueJournal of Food Research · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
FundersVlaamse regeringKU LeuvenFonds Wetenschappelijk Onderzoek
KeywordsRepeatabilityGenetically modified organismFood productsBiologyFood scienceReal-time polymerase chain reactionGenetically modified maizeReproducibilityBiotechnologyChromatographyChemistryGeneGenetically modified cropsGeneticsTransgene

Abstract

fetched live from OpenAlex

The objective of the study was to determine qualitatively by validated Real Time PCR method the occurrence of genetically modified maize and soybean in commercial food products from the Greek market. 70 independent samples were collected, including products from different categories (i.e. cereal based, biscuits and snacks) which declared either corn or soybean on the labelling. The result of the study indicated that 37.1% of maize and soy products (n=70) displayed in the Greek market have detectable levels of genetically modified maize or soy. These products were identified by specific primers and included common GMΟ detection primers for 35S and NOS terminator. Adequate repeatability and reproducibility was demonstrated for the applied Real Time PCR method, as evaluated by intra- and inter-laboratory tests.

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)0.018
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.229
GPT teacher head0.380
Teacher spread0.152 · 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 designBench or experimental
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

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Food ResearchSame topicGenetically Modified Organisms ResearchFrench-language works237,207