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Record W3085827230 · doi:10.1002/pmic.202000014

Investigating Byssogenesis with Proteomic Analysis of Byssus, Foot, and Mantle in Mytilus Mussels by LC‐MS/MS

2020· article· en· W3085827230 on OpenAlexafffund
Maxime Sansoucy, Réjean Tremblay, Emily Carrington, Isabelle Marcotte, Lekha Sleno

Bibliographic record

VenuePROTEOMICS · 2020
Typearticle
Languageen
FieldEngineering
TopicMarine Biology and Environmental Chemistry
Canadian institutionsUniversité du Québec à RimouskiUniversité du Québec à Montréal
FundersFonds de recherche du Québec – Nature et technologies
KeywordsByssusMytilusMusselProteomeMantle (geology)ProteomicsBiologyChemistryBiochemistryEcologyGene

Abstract

fetched live from OpenAlex

Mussel byssus represents a fascinating class of biological materials with a unique capacity to adhere onto virtually any solid surface. Proteins expressed in byssus, the byssal-producing organ (foot) as well as mantle tissue from Mytilus edulis or Mytilus californianus are analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS). The mantle is used as a control tissue to pinpoint unique proteins from the foot samples potentially involved in byssogenesis. This work represents an important step towards identifying biologically important proteins expressed in foot, as well as extending knowledge on the byssus proteome. Considering the minimal proteomics data of the studied species, this data also contributes to a more complete description of M. edulis and M. californianus proteomes.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.171
Teacher spread0.165 · 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 designObservational
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

Citations5
Published2020
Admission routes2
Has abstractyes

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