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Record W4394487267 · doi:10.6084/m9.figshare.23550416

Additional file 1 of CircNFATC3 promotes the proliferation of gastric cancer through binding to IGF2BP3 and restricting its ubiquitination to enhance CCND1 mRNA stability

2023· dataset· en· W4394487267 on OpenAlexaff
Feifei Yang, Qiang Ma, Bo Huang, Xiaolin Wang, Xiaojuan Pan, Ting Yu, Lingyu Ran, Shan Jiang, Haiping Li, Ye Chen, Yuying Liu, Ce Liang, Junwu Ren, Yuying Zhang, Shimin Wang, Wei Li, Bin Xiao

Bibliographic record

VenueOpen MIND · 2023
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCircular RNAs in diseases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsUbiquitinCancer researchCyclin D1Messenger RNACancerChemistryCell biologyBiologyInternal medicineMedicineBiochemistryGeneCell cycle

Abstract

fetched live from OpenAlex

Additional file 1: Table S1. Characteristics of GC patients for circNFATC3 measurement. Table S2. Probes for RNA-FISH. Table S3. Primers for amplification of indicated circRNAs and genes. Table S4. Characteristics of GC patients for TMA. Table S5. Probes targeting circNFATC3 for TMA. Table S6. SiRNAs sequences. Table S7. Probes for RNA pull-down. Table S8. CircRNAs interacting with IGF2BP3 in SGC7901 cells (Top 50). Table S9. Upregulated genes in STAD of the TCGA database (Log2(Fold Change)>2). Table S10. mRNAs interacting with IGF2BP3 in SGC7901 cells evaluated by RIP-seq. Table S11. Downregulated genes evaluated by RNA-seq in SGC7901 cells following IGF2BP3 knockdown.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.167
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0250.000

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 head0.039
GPT teacher head0.347
Teacher spread0.308 · 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 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
Published2023
Admission routes1
Has abstractyes

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