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Record W2470312821 · doi:10.2533/chimia.2015.698

12. Freiburger Symposium 2015: Smart Solutions in the Chemical Process & Product Development – Case Studies from the Chemical Industry

2015· article· en· W2470312821 on OpenAlexaff
Kerstin Bodmann, Roger Martí

Bibliographic record

VenueCHIMIA International Journal for Chemistry · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsImpact
Fundersnot available
KeywordsProduct (mathematics)Process (computing)Process developmentProcess engineeringComputer scienceEnvironmental scienceBiochemical engineeringChemistryEngineeringMathematics

Abstract

fetched live from OpenAlex

Several routes for the manufacture of novel bacterial topo isomerase inhibitors (1, 2) [1] at Actelion Pharmaceuticals Ltd are presented (Fig. Whereas Route 1, comprising more than 30 chemical steps, was developed to rapidly manufacture the Ac tive Pharmaceutical Ingredients (API) for first clinical studies, Route 2 was designed and developed to cut the cost of goods and remove severe impediments for larger scales. [2] The penultimate common intermediate, homobenzyl alcohol 3, features a hetero cyclic structure with three stereocenters and was built from fluo ronaphthyridines and a chiral tetrahydropyran. The two hetaryl carbaldehydes 4 and 5, both manufactured in 5-7 steps, were introduced in the final step.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.309
Teacher spread0.258 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2015
Admission routes1
Has abstractyes

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