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Record W3204585804 · doi:10.1126/science.abi9702

Microfluidic-like fabrication of metal ion–cured bioadhesives by mussels

2021· article· en· W3204585804 on OpenAlexaff
Tobias Priemel, Gurveer Palia, Frank Förste, Franziska Jehle, Sanja Sviben, Ioanna Mantouvalou, Paul Zaslansky, Luca Bertinetti, Matthew J. Harrington

Bibliographic record

VenueScience · 2021
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Surface Interaction Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsByssusMytilusMetalBiomoleculeMetal ions in aqueous solutionMicrofluidicsAdhesiveMusselBlue musselChemistryCatecholNanotechnologyChemical engineeringMaterials scienceOrganic chemistryBiologyEcology

Abstract

fetched live from OpenAlex

, combining traditional and advanced methods to identify how and when metals are incorporated. Mussels store iron and vanadium ions in intracellular metal storage particles (MSPs) complexed with previously unknown catechol-based biomolecules. During adhesive formation, stockpiled secretory vesicles containing concentrated fluid proteins are mixed with MSPs within a microfluidic-like network of interconnected channels where they coalesce, forming protein-metal bonds within the nascent byssus. These findings advance our understanding of metal use in biological materials with implications for next-generation metallopolymers and adhesives.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.017
GPT teacher head0.284
Teacher spread0.267 · 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 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

Citations261
Published2021
Admission routes1
Has abstractyes

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