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Record W7038397760

Importance de la collection d'un établissement de répartition pharmaceutique (évolution, répercussion et communication)

2005· other· fr· W7038397760 on OpenAlexaboutno aff

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2005
Typeother
Languagefr
FieldSocial Sciences
TopicIndigenous Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsService (business)Context (archaeology)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Le rôle premier de tout répartiteur est de livrer chaque pharmacien qui en fait la demande, d'où l'importance de disposer d'une collection de produits en stock pouvant répondre aux besoins divers et variés. Comment se constitue ce chaînon incontournable de la répartition et comment évolue-t-il? Cela est abordé dans cette étude par un cas pratique, celui de l'établissement de l'OCP Rouen - Le Havre, un an après la réunion des deux établissements existants précédemment. Quelle est la satisfaction de la clientèle vis-à-vis de la collection et de l'information communiquée sur celle-ci sont des questions qui se révèlent nécessaires pour faire le point un an après la fusion. Finalement les améliorations à apporter pour augementer une qualité de service seront envisagées.

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)0.023
metaresearch head score (Gemma)0.040
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 score0.023
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.040
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.009
Scholarly communication0.0140.010
Open science0.0010.005
Research integrity0.0020.002
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 head0.017
GPT teacher head0.331
Teacher spread0.314 · 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
Published2005
Admission routes1
Has abstractyes

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