MétaCan
Menu
Back to cohort
Record W2319459639

[Prof. Włodzimierz Kuryłowicz (MD) (1910-1991)--100th anniversary of birthday].

2010· article· en· W2319459639 on OpenAlexaboutno aff
Wiesław Kurzatkowski, Monika Staniszewska, K Madaliński, Ewa Juśkiewicz

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicChemical Reactions and Isotopes
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

The death of Professor Włodzimierz Kuryłowicz on February 21, 1991 at the age of 80 was a great loss that is especially felt by all those who have been involved in the research of antibiotics. He is remembered as one of pioneers of the antibiotic era. Prof. W. Kuryłowicz was born September 26, 1910 in Lvov. He received his MD from the Jan Kazimierz University in Lvov. Following posts as an Associate Professor of Microbiology at Lvov and as a research bacteriologist at the National Institute of Hygiene in Warsaw he became a Professor of Microbiology at that Institute. He was Director of the Institute from 1964 to 1980. More than 270 of this works regarded such topics as: antibiotic biogenesis and biosynthesis, numerical taxonomy of Streptomyces spp., evaluation of BCG and microbial fine structure. Prof. W. Kuryłowicz was a recipient of the National Prize Award for scientific guidance in construction of the first antibiotic industry in Poland, and the National Prize Award for the co-authorship of the monograph "Antibiotics - Origin, Nature and Properties". He was also recipient of Doctorates honoris causa of: Nicolas Copernicus Medical University in Poland; University of Oslo; University of Lille; Medical University of Debrecen, Hungary; University of Liège, Belgium; Federal University of Pernambuco, Recife, Brazil; University of Quèbec, Canada; University of Münster, Germany.

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 score0.619
Threshold uncertainty score1.000

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.093
GPT teacher head0.378
Teacher spread0.285 · 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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicChemical Reactions and IsotopesFrench-language works237,207