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Record W2160232544 · doi:10.1086/520539

Dedication: Jim Orzechowski (1944–2003) and Michael Kiley (1942–2004)

2007· article· en· W2160232544 on OpenAlexafffundabout
Heinz Feldmann, Thomas W. Geisbert, Yoshihiro Kawaoka, Karl M. Johnson

Bibliographic record

VenueThe Journal of Infectious Diseases · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicEducation, Technology, and Ethics
Canadian institutionsCanadian Science Centre for Human and Animal HealthPublic Health Agency of CanadaUniversity of Manitoba
FundersCanadian Institutes of Health ResearchNational Institutes of HealthPublic Health AgencyPublic Health Agency of Canada
KeywordsArtGerontologyHistoryMedicine

Abstract

fetched live from OpenAlex

This supplement to the Journal of Infectious Diseases is dedicated to the memories of Jim Orzechowski (1944–2003) and Michael Kiley (1942–2004), individuals who were instrumental in bringing biosafety level 4 (BSL4) biocontainment into the 21st century. Jim Orzechowski, a Canadian from the prairies of Manitoba, received a degree in architecture fromNorth Dakota State University in 1970, joined the architectural firm of Smith Carter, and, within 4 years, was a partner in the company. Beginning in 1978, Smith Carter began designing medical structures, and, in 1987, Jim led a consortium that won the bid to build new laboratories for Canada's health and agriculture ministries. Patient and always careful, the team took more than 5 years to design what has become the prototype for modern BSL4 laboratories. The Canadian Science Centre for Human and Animal Health (CSCHAH) was dedicated in 1999 and has already contributed major new knowledge to high-containment biomedical science. Jim's company now designs BSL4 laboratories in the United States and beyond.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.167
Threshold uncertainty score0.558

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0020.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.1670.102

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 head0.009
GPT teacher head0.267
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes3
Has abstractyes

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