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Record W2917246147 · doi:10.1051/medsci/2019008

Trois chercheurs, dont un Français, récompensés pour leurs travaux sur les lasers

2019· article· fr· W2917246147 on OpenAlexaboutno aff
Serge Mordon

Bibliographic record

Venuemédecine/sciences · 2019
Typearticle
Languagefr
FieldEngineering
TopicLaser-induced spectroscopy and plasma
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Six ans après le physicien Serge Haroche, un autre Français, qui détient aussi la nationalité américaine, reçoit le prix Nobel de physique. Gérard Mourou, né en 1944 à Albertville (France), est professeur émérite à l’École polytechnique (Palaiseau, France) et ancien professeur à l’université du Michigan (Ann Arbor, États-Unis). Il partage la moitié du prix Nobel avec Donna Strickland, de l’université de Waterloo (Ontario, Canada). Née en 1959 à Guelph, au Canada, elle était alors étudiante à l’époque de ces travaux portant sur les lasers. Elle est la troisième femme seulement à être récompensée en physique, après Marie Curie en 1903 et Maria Goeppert-Mayer en 1963. L’autre moitié de cette récompense prestigieuse revient à l’Américain Arthur Ashkin, 96 ans, de l’université Cornell (Ithaca, État de New York, États-Unis). Arthur Ashkin est désormais la personne la plus âgée à voir été lauréat d’un prix Nobel, toutes catégories confondues. Ces trois chercheurs ont un point commun : ils manipulent la lumière et leurs recherches ont abouti à de nouvelles utilisations des lasers en médecine.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.058
GPT teacher head0.263
Teacher spread0.206 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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