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Record W2172413493 · doi:10.1016/j.sjbs.2015.05.018

Special Issue on Molecular Biology and Biophysics of Eukaryotic Cells

2015· article· en· W2172413493 on OpenAlexaff
Mohammad Ashrafuzzaman, Jack A. Tuszyński

Bibliographic record

VenueSaudi Journal of Biological Sciences · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputational biologyBiologyBiophysicsData scienceComputer science

Abstract

fetched live from OpenAlex

This issue will focus on the current understanding of eukaryotic cells using both molecular biology and biophysics approaches. Cellular constituents such as cell surface, plasma membrane, cellular interior organelles, functional and structural proteins, mitochondria, cytosol. are of interest. These individual structures and their interactions play roles in the initiation and progression of numerous diseases and thus they are natural targets of various pharmacological agents. Understanding normal and pathological states of the cell, related molecular-level changes of functions and the binding of pharmacological agents to specific targets, are all crucial aspects of cell-based research. We aim to attract authors from around the globe to contribute papers addressing both general aspects and specific matters covered in this subject-matter. As this is mainly a subject-based special issue, the techniques reported in various papers cover experimental, theoretical and computational efforts. This issue will publish regular articles, mini reviews and full reviews.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.032
GPT teacher head0.293
Teacher spread0.261 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2015
Admission routes1
Has abstractyes

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