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Record W4301520032 · doi:10.5281/zenodo.6979759

EZ Burn Keto Gummies : Is It Legit or Scam?

2022· article· en· W4301520032 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldMedicine
TopicTea Polyphenols and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

EZ Burn Keto Gummies The price of each package is around 100€. Most users with Place in the discussion, as on the EZ Burn Keto Gummies intervened he helped. EZ Burn Keto Gummies in france is a pure natural product and therefore you do not have to worry about side effects or even that it is about fraudulent medikamenty, which promise inaccessible. Weight reduction can achieve, does not need to diet, play sports or change the diet. Ideal for those who have problems with metabolism and poor combustion dish. The biggest advantage is that EZ Burn Keto Gummies only focuses on fats in the body, thanks to weight loss did not lead to loss of muscle mass, as well as other drugs. EZ Burn Keto Gummies amazon. These substances in the future support the function of the immune system. The fiber content. Fiber speeds up the metabolism and improves the process of digestion. The content of catechins. Catechins help fight infections, heart attack and stroke, diabetes and heart failure EZ Burn Keto Gummies. Also helps protect the skin against UV rays. Proanthocyanidins help the proper functioning of blood in the circulation, by strengthening the lining of capillaries and inhibiting the enzymes that break down collagen\n\nOfficial Web : https://www.outlookindia.com/outlook-spotlight/ez-burn-keto-gummies-canada-reviews-shark-tank-ez-burn-gummy-bears-canada-price-where-to-buy-shocking-scam-exposed-2022--news-212535

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.648
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1790.014

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 head0.057
GPT teacher head0.284
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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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