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Record W4408384640 · doi:10.1002/jsde.12840

Jean Louis Salager: A life of service to applied surfactant science

2025· article· en· W4408384640 on OpenAlexaff
Orlando J. Rojas, Carlos Rodríguez‐Abreu, Johnny Bullón

Bibliographic record

VenueJournal of Surfactants and Detergents · 2025
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChemistryPulmonary surfactantSt louisArt historyBiochemistryArt

Abstract

fetched live from OpenAlex

Abstract This article celebrates the illustrious career and scientific legacy of Prof. Jean‐Louis Salager, recipient of the prestigious Samuel Rosen Memorial Award presented by the American Oil Chemists' Society (AOCS) in April 2020. The award acknowledges his over 50 years of groundbreaking contributions to the field of surfactant chemistry, honoring individuals whose work has had a profound impact on both industry and academia. This tribute details Prof. Salager's lifelong contributions, which extend beyond his remarkable scientific discoveries to encompass a profound influence on generations of researchers, many of whom now continue his legacy across the globe. This article brings together the reflections of colleagues and collaborators from the global stage—scientists and professionals inspired by Prof. Salager's mentorship and vision, many representing the Venezuelan diaspora whose careers he shaped with his guidance and support. Together, they underscore the enduring impact of Prof. Salager as a teacher, mentor, and friend, whose work and mentorship continue to inspire and shape the field of surfactant chemistry and interfacial science around the world.

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)0.000
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 score0.100
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.249
Teacher spread0.237 · 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
Published2025
Admission routes1
Has abstractyes

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