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Record W1891806042 · doi:10.1002/9781119165156.ch5

First‐Passage Processes in Cellular Biology

2016· other· en· W1891806042 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in chemical physics · 2016
Typeother
Languageen
FieldEngineering
TopicNanopore and Nanochannel Transport Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFormalism (music)Context (archaeology)Complement (music)Computer scienceBiochemical engineeringManagement scienceChemistryBiologyEngineering

Abstract

fetched live from OpenAlex

Many aspects of the behaviors of physical, chemical, and biological systems can be understood simply in terms of the dynamics of the averaged state variables and their deterministic evolution equations. Mathematical techniques for modeling and analyzing first passage (FP) processes were pioneered a few decades ago, in the context of non-equilibrium physical chemistry and chemical physics. This chapter presents and elucidates fundamentals of the FP formalism within a unified conceptual framework, which naturally integrates the existing techniques. It then discusses the applications with emphasis on the practical use of FP techniques in biophysical systems. The chapter focuses on covering a diverse set of analytical techniques; the number of reviewed biological applications and focuses on three specific areas: channel transport, receptor binding and adhesion, and single-cell growth and division. Simulation techniques that complement analytical approaches have played a crucial role in revealing the stochastic mechanisms of cells and molecules.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.774
Threshold uncertainty score0.947

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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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