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Record W7099272180

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2016· article· en· W7099272180 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionConcurrenceQuarter (Canadian coin)Capital (architecture)
DOInot available

Abstract

fetched live from OpenAlex

Exonération de programme dépassant 10 % du capital-actions Rashid Bahar, Elsa Muhaxheri, 24 novembre 2010. En date du 10 novembre 2010, la Commission des OPA (COPA) a prononcé une décision exonérant l’annonce du programme de rachat d’actions d’Actelion Ltd de l’application des dispositions sur les offres publiques d’acquisition (Décision 0459/01 Actelion Ltd, du 3 Novembre 2010). Actelion Ltd (Actelion) a fait part à la Commission de son intention de racheter des actions propres à hauteur de CHF 800 millions au maximum, soit 15 % de son capital-actions, sur une période de trois ans au plus en vue de réduire son capital à concurrence du volume de rachat obtenu. Toutefois, selon l’annonce publiée par Actelion, celle-ci a déclaré qu’une acquisition de plus de 10% du capital-actions serait accompagnée d’une décision de l’assemblée générale. Avant d’accorder une exonération au principe énoncé à la Circulaire n ° 1 de la COPA du 26 février 2010, la Commission a examiné si le rachat n’avait pas pour effet une réduction excessive du free float ou une modification de l’actionnariat de la société. Elle a pour ce faire examiné la composition de l’actionnariat et constaté que l’opération ne pouvait pas conduire à une prise de contrôle par

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)0.004
metaresearch head score (Gemma)0.063
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 score0.454
Threshold uncertainty score0.648

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.063
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.005
Science and technology studies0.0040.002
Scholarly communication0.0120.006
Open science0.0050.004
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.5460.510

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 head0.004
GPT teacher head0.175
Teacher spread0.171 · 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
Published2016
Admission routes1
Has abstractyes

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