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The Cell Cycle: Accelerators, Brakes, and Checkpoints

2004· review· en· W2076249094 on OpenAlexaff
Stacey Ivanchuk, James T. Rutka

Bibliographic record

VenueNeurosurgery · 2004
Typereview
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsCell cycleCell divisionCarcinogenesisRestriction pointCell biologyCell growthCell cycle progressionMedicineGenePoint mutationGeneticsCellMutationNeuroscienceBiology

Abstract

fetched live from OpenAlex

PROLIFERATIVE CUES TRIGGER a complex series of molecular signaling events in cells. Early in the cell cycle, cells are faced with an important decision that affects their fate. They either initiate a round of replication or they withdraw from cell division. Passage through the restriction point, or "point of no return," marks cellular commitment to a new round of division. Genetic mutations that predispose individuals to tumorigenesis often affect pathways that influence cellular proliferation. Many of the mutated genes give rise to molecules that are no longer able to appropriately regulate the mammalian cell cycle; the end result is neoplasia. In this review, the critical elements that permit cell cycle progression and the positive and negative regulators that affect the process are reviewed.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.292
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations34
Published2004
Admission routes1
Has abstractyes

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