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957 Modulation of the tumor immune microenvironment by low dose antibody-based radiopharmaceutical therapy (RPT) and direct visualization of RPT analog microdistribution by imaging mass cytometry

2025· article· W4415900318 on OpenAlexaff
Felix B. Salazar, Smriti Kala, Daniel Majonis, Hang Zhou, Bao Y Chen, Christopher Heskett, Qanber Raza, James Mansfield, Anna M. Wu

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2025
Typearticle
Language
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsCanadian Standards Association
Fundersnot available
KeywordsMass cytometryImmune systemVisualizationTumor microenvironmentFlow cytometryImmune modulation

Abstract

fetched live from OpenAlex

Figure 1 Direct visualization of RPT analog.A) 177Lu-A2DM RPT and cold analog 169Tm-A2DM.B) Dose-dependent visualization of 169Tm-A2DM in KPC-hPSCA tumors.C) Co-visualization of 169Tm analog with CD31, hPSCA, and CD45 in tumors using Hyperion XTI tissue mode

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 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 score0.094
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
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.008
GPT teacher head0.289
Teacher spread0.281 · 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.

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
Published2025
Admission routes1
Has abstractyes

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