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Record W4362548006 · doi:10.1158/1535-7163.22507024

Supplementary Methods and Materials; Supplementary Figures S1-S4 from Tumor-Independent Host Secretomes Induced By Angiogenesis and Immune-Checkpoint Inhibitors

2023· preprint· en· W4362548006 on OpenAlexaff
Michalis Mastri, Christina R. Lee, Amanda Tracz, Robert S. Kerbel, Melissa Dolan, Yuhao Shi, John M.L. Ebos

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsAngiogenesisGeneImmune systemSunitinibCancer researchMolecular biologyGene expressionImmune checkpointBiologyCancerMedicinePharmacologyInternal medicineImmunologyGeneticsImmunotherapy

Abstract

fetched live from OpenAlex

Supplementary Methods and Materials. Supplementary Figure S1: Differentially expressed genes from whole genome expression analysis after treatment with RTKIs or Abs. Supplementary Figure S2: Comparison of differentially expressed genes in cancer-free Balb/c mice treated for 7 days. Supplementary Figure S3: Quantification of select plasma proteins after 7-days treatment in cancer-free Balb/c mice. Supplementary Figure S4: Comparison of gene and protein expression changes in Balb/c mice after 7-day treatment with high dose Sunitinib (120mg/kg/day).

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.485
Threshold uncertainty score0.734

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.4850.169

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 head0.298
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 source (direct Gemma or distilled Codex), not a consensus.

Study designBench or experimental
Domainnot available
GenreMethods

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
Published2023
Admission routes1
Has abstractyes

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