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Record W2779299474

La fabrication industrielle des cachets

2016· preprint· fr· W2779299474 on OpenAlexaff
André Frogerais

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2016
Typepreprint
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsCanadian Society for the History of Medicine
Fundersnot available
KeywordsHumanitiesBusinessPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

En 1872, Stanislas Limousin crée une nouvelle forme pharmaceutique destinée à la voie orale, les cachets. Ils sont constitués de deux disques de pain azyme qui renferment de la poudre médicamenteuse, ils sont scellés par mouillage. Il les présente le 8 janvier 1875 lors d’une séance de la Société de Pharmacie. Ils ont l’avantage de masquer les gouts désagréables, de ne pas nécessiter l’incorporation d’excipient et de permettre un dosage rigoureux, leur succès est immédiat. Les cachets ainsi que les comprimés inventés en 1843 en Grande-Bretagne vont se substituer aux pilules qui ne peuvent contenir que de petites quantités de médicament. Ils sont utilisés en Europe et aux Etats-Unis mais les pharmaciens allemands privilégient les comprimés et les anglo-saxons développent les gélules. En France, en Espagne et en Italie, ils sont immédiatement adoptés pour les préparations magistrales et la fabrication industrielle des spécialités. Les laboratoires Bayer commercialisent dans le monde entier l’Aspirine sous forme de comprimé, et spécialement pour le marché français France sous forme cachet.

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: Other
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.003

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 head0.052
GPT teacher head0.329
Teacher spread0.277 · 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
Published2016
Admission routes1
Has abstractyes

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