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Record W1983378909 · doi:10.1016/j.femsyr.2004.10.004

ASM Conference ?Integrating Metabolism and Genomics?, Montreal, Quebec, Canada, 30 April?3 May, 2004

2004· article· en· W1983378909 on OpenAlexaboutno aff
Isabel Sá‐Correia

Bibliographic record

VenueFEMS Yeast Research · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFungal and yeast genetics research
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)Context (archaeology)Library scienceVariety (cybernetics)GenomicsRelevance (law)Political scienceBiologyWorld Wide WebGeneticsComputer scienceGenomeArtificial intelligenceLaw

Abstract

fetched live from OpenAlex

The Conference “Integrating Metabolism and Genomics” (IMAGE ) was organized by the American Society for Microbiology (ASM) and took place from April 30 to May 3, 2004, in a hotel in Montreal, Quebec, Canada. The Conference IMAGE provided a context for understanding the interface between genomics and metabolism in a large variety of microorganisms, illustrating nicely the potential, the challenges and the limitations of the post-genomics approaches. Because no parallel sessions were organized, the conference provided a real opportunity to learn about the recent genomics-guided developments obtained in a variety of microbiological systems beyond the own field of interest. The Conference brought together 175 scientists; one half from outside de USA (20% were Canadian) and 16% from corporate/industry. The format of ASM Conferences, focused on topics of scientific relevance, encourages interactive exchange and the participation of graduate students and post-docs. For IMAGE, ASM had awarded travel grants to 19 graduate students and new post-docs; nevertheless, this was an expensive meeting. The scientific program was organized in seven plenary sessions, with five presentations each (two of them selected among the posters) and two poster sessions. Session II was fully dedicated to the yeast Saccharomyces cerevisiae and all the sessions were of unquestionable interest to the community involved in yeast research or dedicated to any other microbial system in this new field of genomics-guided research. Robert La Rossa (DuPont de Nemours & Company, Wilmington, DE), who belongs to the ASM Conferences Committee and was one of the Conference organizers, opened this first session, illustrating the promises and limitations derived from the gene expression profile work carried out. Among the examples provided were the changes occurring in S. cerevisiae genome-wide expression caused by treatment with the herbicide sulfometuron methyl (SM), an inhibitor of amino acid biosynthesis. A potential link between SM sensitivity and ergosterol …

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 score0.281
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.001
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 head0.030
GPT teacher head0.302
Teacher spread0.272 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

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