MétaCan
Menu
Back to cohort

Additional file 2 of PLK4 as a potential target to enhance radiosensitivity in triple-negative breast cancer

2024· other· en· W6939584283 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typeother
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsUniversity of TorontoLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsGene knockdownGene silencingRadiosensitivityCell cycleTumor cellsIntensity (physics)

Abstract

fetched live from OpenAlex

Supplementary Material 2. Supplementary Fig.2. PLK4 knockdown efficiency in TNBC cells MDA-MB-468 (A and B), MDA-MB-231 (C and D) and SUM159 (E and F) cells were depleted of PLK4 using siRNA, and the knockdown efficiency was determined by RT-qPCR and Western blot analysis. Reduction of the PLK4 expression by the siRNA silencing was confirmed by RT-qPCR (A, C and E) and immunoblotting (B, D and F). The cycle threshold (Ct) values of PLK4 were normalized to actin internal control (Suppl. Table 1). For immunoblotting, PLK4 band intensity was normalized to the band intensity of actin to calculate normalized band intensity. scr– Scramble control siRNA

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.9990.034

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 head0.010
GPT teacher head0.283
Teacher spread0.274 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueFigshareSame topicDiamond and Carbon-based Materials ResearchFrench-language works237,207