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Record W4287664756 · doi:10.5281/zenodo.4037028

Oraux steroides canada(fr)

2020· article· fr· W4287664756 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Lien: https://bit.ly/2OPWmbJ\n\nou acheter anabolisant - ou acheter hormone de croissance\n– Qualité et dosage pharmaceutique.\n– Résultats rapides garantis.\n– Dianabol, Anavar, Clenbuterol, Trenbolone, HGH, Deca and other!\n– Autres methodes de paiement: MasterCard/Visa/AMEX/PayPal/BitCoin!\nAcheter PRODUITS DE CROISSANCE en ligne au prix Pas Cher!\n\n(Cliquez ici!): https://bit.ly/2OPWmbJ\n\n\nOu acheter des produits sans gluten et sans lactose sur internet moins cher\nCalcul IMC ado gratuit en ligne: déterminer quel est le poids idéal\n\nQui a déjà testé la ventouse anti cellulite ? avis forum temoignages\nComment perdre son ventre bedonnant mou et rond qui tombe ? Que faire vite\n\nComment perdre du ventre rapidement sans sport ni régime ou effort ?\nVente coupe faim efficace et puissant sans ordonnance pour maigrir\nOù acheter de l'elixir du suedois pas cher: bio minceur ventre plat\n\nQuel est le meilleur coupe faim ? Le plus efficace pour maigrir vite\nOu acheter de la propolis bio pure naturelle moins cher au meilleur prix ?\n\n\nCalcul IMC ado gratuit en ligne: déterminer quel est le poids idéal\nDe la farine sans gluten où en acheter ? avis site de vente en ligne\nComment perdre son ventre de grossesse rapidement après l'accouchement ?\nOu acheter une ceinture abdominale femme pas cher ? ventre plat amincissante\nCrème bio contre les vergetures pour femme avant et après grossesse\n\n\nanabol tablets achat\nachat vrai dianabol\nanabolisant musculation femme\nanabolisant musculation effet\nanabolisant musculation sans danger\nanabolisant musculation achat\nanabolisant musculation injection\nanabolisant musculation danger\nanabolisant musculation avis\nanabolisant musculation forum\nanabolisant musculation naturel\nanabolisant musculation cure\nanabolisant musculation definition\nanabolisant musculation pas cher\nanabolisant musculation resultat\nanabolisant musculation conseil\nproduit anabolisant musculation\nvente anabolisant musculation\npiqure anabolisant musculation\nanabolisant chevaux musculation\nanabolisant et musculation\ninsuline anabolisant musculation\nanabolisant pour la musculation\nmeilleur anabolisant musculation\nanabolisant pour musculation\nmeilleur anabolisant pour musculation\nanabolisant musculation risques\nanabolisant steroide musculation\nanabolisant sans musculation\nanabolisant musculation effet secondaire\nmusculation stéroide anabolisant\nanabolisant testosterone musculation\nanabolisant vente ligne\nanabolisant vente france\nvente anabolisant belgique\nvente anabolisant naturel\nvente anabolisant suisse\nvente anabolisant espagne\nanabolisant en vente libre\nsite vente anabolisant\nvente d'anabolisant\nvente d'anabolisant belgique\nanabolisant vente en ligne\nanabolisant en vente\nvente steroides anabolisant\nproduit anabolisant naturel\nproduit anabolisant seche

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Other · Consensus signal: Other
Teacher disagreement score0.252
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7480.505

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 head0.061
GPT teacher head0.225
Teacher spread0.164 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

Explore more

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