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Record W4394257918 · doi:10.6084/m9.figshare.19923267

Additional file 2 of Regulatory mechanism of Haa1p and Tye7p in Saccharomyces cerevisiae when fermenting mixed glucose and xylose with or without inhibitors

2022· dataset· en· W4394257918 on OpenAlexaff
Bo Li, Wang Li, Jin-Yu Xie, Ziyuan Xia, Cai-Yun Xie, Yue‐Qin Tang

Bibliographic record

VenueOpen MIND · 2022
Typedataset
Languageen
FieldEngineering
TopicBiofuel production and bioconversion
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsSaccharomyces cerevisiaeXyloseFermentationMechanism (biology)ChemistryFood scienceBusinessBiochemistryYeastPhysics

Abstract

fetched live from OpenAlex

Additional file 2: Table S3. The genes regulated by the potential TFs in C_H vs. C_S (13), C_T vs. C_S (20), AFur_H vs. AFur_S (8), and AFur_T vs. AFur_S (5) groups. The light yellow highlighted values are calculated by DEGs/genes (the number of the DEGs regulated by the TFs to the number of the genes regulated by the TFs) or DEGs/all the DEGs (the number of the DEGs regulated by the TFs to all the DEGs in each group). The green highlighted genes are the DEGs that regulated by the TFs.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.418
Threshold uncertainty score0.830

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.4180.107

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 head0.014
GPT teacher head0.216
Teacher spread0.202 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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