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Record W4250287357 · doi:10.26434/chemrxiv.12151671.v1

Enabling Indium Channels for Mass Cytometry by Using Reinforced Cyclambased Chelating Polylysine

2020· preprint· en· W4250287357 on OpenAlex
Laura Grenier, Maryline Beyler, Taunia Closson, Nick Zabinyakov, Alexandre Bouzekri, Yefeng Zhang, Jothir Mayanantham Pichaandi, Mitchell A. Winnik, Peng Liu, Olga Ornatsky, Vladimir Baranov, Raphaël Tripier

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

VenueChemRxiv · 2020
Typepreprint
Languageen
FieldMaterials Science
TopicAnodic Oxide Films and Nanostructures
Canadian institutionsUniversity of TorontoFluidigm (Canada)
FundersUniversité de Bretagne OccidentaleCentre National de la Recherche Scientifique
KeywordsPolylysineMass cytometryChemistryFlow cytometryChelationMolecular biologyPrimary and secondary antibodiesAntibodyNuclear chemistryBiochemistryImmunologyInorganic chemistryMedicine

Abstract

fetched live from OpenAlex

A metal containing polymer (MCP) based on a polylysine functionalized by In(III) chelates was synthesized. The chelator is based on a constrained dipicolinate cyclam that forms a highly inert In(III) complex. The MCP was conjugated to anti CD20 antibody using the very strong neutravidin/biotin interaction. Two cell lines, one expressing CD20 the other not, were stained with the modified antibody and analysed by mass cytometry using the In-115 channel. The results showed a specific antigen-antibody recognition and images by mass cytometry imaging could be obtained thanks to In-115 detection. Finally, overtime stability tests of the bioconjugate as well as multiplex experiments using the In-115 channel underline the high potentiel of this new In based MCP.

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)0.001
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 score0.062
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.035
GPT teacher head0.280
Teacher spread0.245 · 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