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Record W215563002 · doi:10.1007/978-1-59745-440-7_3

RNA Processing and Translation

2008· book-chapter· en· W215563002 on OpenAlexaff
Christina Karamboulas, Nadine Wiper‐Bergeron, Ilona S. Skerjanc

Bibliographic record

VenueHumana Press eBooks · 2008
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMessenger RNARibosomeTranscription (linguistics)Translation (biology)BiologyRNAGeneProtein biosynthesisPost-transcriptional modificationGenetic codeGeneticsComputational biologyRibosome profilingCell biologyRNA editing

Abstract

fetched live from OpenAlex

The information that codes for all proteins in a cell is found on specific segments within the DNA. When a cell requires the function of a particular protein, it must initiate the steps involved in the synthesis of this protein. The overall process is termed gene expression. Transcription is the process whereby the cell makes a copy of the genetic information required to build that particular protein. Transcription yields the copy of a particular gene termed the primary transcript, which undergoes several processing events to generate the mature messenger RNA (mRNA). The mRNA molecule is then transported to the cytoplasm where it associates with the ribosome. Here, the information within the transcript is decoded into a polypeptide chain of amino acids to give rise to a particular protein with a specific function. The details of RNA processing and translation are discussed in this chapter.

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.033

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 head0.058
GPT teacher head0.250
Teacher spread0.192 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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