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Record W6931862867 · doi:10.5281/zenodo.7066763

Skincell Advanced Where To Buy Skin Tag Australia A Perfect Tag removal Serum AU 2022

2022· article· en· W6931862867 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldChemistry
Topicthermodynamics and calorimetric analyses
Canadian institutionsnot available
Fundersnot available
KeywordsSkin colorPig skinHuman skinSkin barrierSkin careDry skin

Abstract

fetched live from OpenAlex

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This total posting coordinates the expenses as well as the dollar absolute.\n\nBUY NOW :::-----\n𝗦𝗮𝗹𝗲 𝗶𝘀 𝗟𝗶𝘃𝗲 𝗡𝗼𝘄 🎉\n𝐅R𝐄𝐄 𝐒𝐇𝐈𝐏𝐏𝐈𝐍𝐆!! 🥳\nLimited Time Offer\nShop Now ☘️☘️\nGet more discount\nHurry Up 🥳🥳\n \n\n👌👌Deal Is Live Click Here Purchase Now👌👌\n\n \n\nCLICK HERE\n\nMain Site - https://www.outlookindia.com/outlook-spotlight/skincell-advanced-australia-canada-reviews-official-website-mole-and-skin-tag-corrector-pro-safe-or-scam--news-222144\n\n \n\nhttps://www.facebook.com/Skincell-Advanced-Skin-Tag-102080442657186\n\n \n\nhttps://skincell-advanced-shark-tank.jimdosite.com/\n\nhttps://skincell-advanced-skin-tag.jimdosite.com/\n\nhttps://skincell-advanced-australia-reviews.jimdosite.com/\n\n \n\nhttps://www.scoop.it/topic/skincell-advanced-australia-by-skincell-advanced-australia-4\n\nhttps://www.scoop.it/topic/skincell-advanced-skin-tag-where-to-buy-and\n\n \n\nhttps://techplanet.today/post/skincell-advanced-australia-a-perfectly-clear-coloring-is-something-that-nearly-everybody-wants-shark-tank-au-2022\n\nhttps://techplanet.today/post/skincell-advanced-shark-tank-by-skincell-advanced-skin-tag-buy-to-australia-scam-alert-au-2022\n\n \n\nhttps://sites.google.com/view/skincell-advanced-skin-tag/\n\nhttps://healthyworldpage.blogspot.com/2022/09/SkincellAdvancedSkinTag.html\n\nhttps://twitter.com/skincellskintag

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 categoriesMeta-epidemiology (narrow), Science 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score1.000

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 science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1410.004

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 head0.024
GPT teacher head0.254
Teacher spread0.231 · 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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