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Record W6930977918 · doi:10.5281/zenodo.4431594

One Shot Keto: Latest Diet Pill for USA & Canada Customers

2021· article· en· W6930977918 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsShot (pellet)OverweightPopulationObesityTrans fatDisease

Abstract

fetched live from OpenAlex

One Shot Keto has grown its network quite strongly in the market at present. Lots of health professionals and fitness trainers are suggesting it to people to get a fat free body and healthier physique. When it comes to the working of this supplement, it works upon the metabolic health of the body. As the company preaches about the supplement, 'It makes use of ketosis to enhance the metabolic rate of the body and burn off fat at a very fast rate. Its simple method to burn off fat is to make sure that the body takes in ketones which form a compound with the carbs already present. This compound resembles muscular tissue in the body and this way the brain sends signals for improving the muscular tissue production in the body. This makes fat the only source of fuel and the metabolism tends to burn it for energy'. This process is backed by a strong base of natural ingredients such as BHB ketones from the raspberry pulp, Garcinia Cambogia, Green Tea, natural preservatives, etc.\n\n \n\nOne Shot Keto done by Centers for Disease Control and Prevention states that more than 45% of the adult population of the United States is overweight and they suffer from obesity. It has been proven that obesity is one of the major causes of cardiac arrests, kidney issues, and problems related to blood pressure. United States health index data suggests that the individuals try to burn off fat which is stored in their body and get healthy.\n\n \n\nAs the market base of One Shot Keto has grown, around 450 thousand product boxes have been sold in the past year and people from all around the American Continent are sending back their user reviews to the OneShot Keto pill. One of the consumer reviews states that "The use of this supplement made my body feel lighter and more energetic just after one month. It burnt off all the stored fat in my body quite fast and helped me become more confident about my body." There are many such user reviews and the customer satisfaction percentage for this supplement goes as high as 95%. This means just 5% of the buyers reported some issue with the supplement and for that too, the company has a user supportive return policy where the users can return the product and get a full refund if they do not feel a change in one month of use. As the company did a survey, 7000 customers returned to purchase the supplement after a few months as they wanted to cut on body fat and get a slimmer body, this announced the possibility for the usage of this supplement in body building sports too.\n\n \n\nOne Shot Keto has become this big name in the market only because of its method of burning off fat. The ketogenic diet has provided a strong base for the supplement. According to a survey conducted by Harvard University, the ketogenic diet as suggested in the usage of this supplement has proven to be beneficial in curing type 2 diabetes, lower hypertension issues, and help people cut on fat. Around 89% of the people who used the supplement and followed a simple ketogenic diet felt lighter and lost unwanted fat.>>>>> https://apnews.com/press-release/ts-newswire/lifestyle-nutrition-physical-fitness-north-america-health-6bca37ccc7126282ec4c045cee92d6fb\n\n \n\n \n\nhttps://sites.google.com/view/one-shot-keto-diet-pill/

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 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 score0.220
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.095
GPT teacher head0.273
Teacher spread0.178 · 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
Published2021
Admission routes1
Has abstractyes

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