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Record W4385811185 · doi:10.1021/cen-10126-buscon3

Sygnature acquires NuChem

2023· article· en· W4385811185 on OpenAlexaboutno aff
Rick Mullin

Bibliographic record

VenueC&EN Global Enterprise · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessManagementMarketingEconomics

Abstract

fetched live from OpenAlex

Sygnature Discovery, a UK-based pharmaceutical contract research organization (CRO), has acquired NuChem Sciences, a Canadian competitor with a staff of over 300 in Montreal and Quebec City. NuChem, which acquired OmegaChem , another Canadian CRO, in 2021, is Canada’s largest chemistry-oriented CRO. Financial terms of the deal were not disclosed. The acquisition, Sygnature’s third in the last 16 months, adds a significant North American operation as the company moves to diversify and grow its drug discovery services business. In an emailed response to queries from C&EN, Sygnature CEO Simon Hirst says the acquisition has several pluses, including the establishment of a transatlantic services firm with access to the Canadian talent market, notably around Montreal. It also brings the company closer to existing and potential customers. “It’s always been true that a large proportion of our clients are in North America, and it’s also been true that the North American market

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.013

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 head0.031
GPT teacher head0.294
Teacher spread0.263 · 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 teacher head, not a consensus.

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
Published2023
Admission routes1
Has abstractyes

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