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Record W173696690 · doi:10.1007/978-0-387-88186-7_5

Regulation of Gene Expression

2009· book-chapter· en· W173696690 on OpenAlexaff
P. Jorge Chedrese

Bibliographic record

VenueReproductive Endocrinology · 2009
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsGeneENCODEHousekeeping geneBiologyGenomeGeneticsNucleotideGene expression

Abstract

fetched live from OpenAlex

All living organisms are genetically characterized by information stored in the genome as sequences of nucleotides. The genetic information required for organic development and functions is contained in the genes, which comprise only a fraction of the total sequences of nucleotides transmitted during every cell division and from generation to generation. Genes that express proteins can be divided in two main groups. The first group called constitutive or “housekeeping” genes encode slow turnover proteins required for basal functions and, therefore, are steadily expressed without regulation in most cells. The second group includes genes that encode proteins required for cell-specific biochemical activities and, therefore, are expressed only in particular cell groups. Some of these genes express high turnover proteins that are subject to rapid changes. Because these genes have restricted spatial patterns of expression, depending on their role, they can be highly regulated.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.279
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 integrity0.0000.000
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 head0.016
GPT teacher head0.246
Teacher spread0.230 · 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 designBench or experimental
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

Citations4
Published2009
Admission routes1
Has abstractyes

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