MétaCan
Menu
Back to cohort
Record W4381234500 · doi:10.23880/aii-16000136

Are Peptides Truly Less Important than Proteins, or are Peptides and Proteins Mutually Inclusive of Each other?

2021· article· en· W4381234500 on OpenAlex
Cheng JTJ

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

VenueAnnals of Immunology & Immunotherapy · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChemistryComputational biologyBiochemistryBiology

Abstract

fetched live from OpenAlex

In today's research world, peptides and related functions are mostly undermined, undervalued, underappreciated, and sometimes maybe marginalized.It could be mainly due to the fact that peptides are shorter in amino acid length (less sequence conservation or variation), less structured (more random structures i.e., many do not form defined secondary structures), single-functioned (not as dual or even multifunctional), more direct-action oriented (less indirect and consequently more complex effects, e.g., signaling cascade events), and less global impacts (e.g., peptidomes are far less characterized than proteomes to date, due to either lack of interest or lack of available and validated tools and methods).These factors make peptides less attractive for research studies than their protein counterparts.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.025
GPT teacher head0.303
Teacher spread0.278 · 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