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Record W4394425102 · doi:10.6084/m9.figshare.21628897

Additional file 28 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma

2022· dataset· en· W4394425102 on OpenAlexaff
Yexin Tong, Mingjun Sun, Lingli Chen, Yunzhi Wang, Yan Li, Lingling Li, Xuan Zhang, Yumeng Cai, Jingbo Qie, Yanrui Pang, Ziyan Xu, Jiangyan Zhao, Xiaolei Zhang, Yang Liu, Sha Tian, Zhaoyu Qin, Jinwen Feng, Fan Zhang, Jiajun Zhu, Yifan Xu, Wenhui Lou, Yuan Ji, Jian‐Yuan Zhao, Fuchu He, Yingyong Hou, Chen Ding

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsMcMaster UniversityUniversity of British Columbia
Fundersnot available
KeywordsPancreatic ductal adenocarcinomaPancreatic carcinomaBiologyComputational biologyComputer scienceBioinformaticsPancreatic cancerGeneticsCancer

Abstract

fetched live from OpenAlex

Additional file 28: Table S6. Proteomic Subtypes of PDAC Patients. Table S6A Proteomic subtypes, transcriptomic subtypes and phosphoproteomic subtypes of PDAC patients. Table S6B A list of differentially expressed proteins among three subtypes. Table S6C Pathway alterations in the proteomic subtypes of the PDAC cohort. Table S6D Matrix of protein expression and kinase activity of kinase activated in S-III. Table S6E Matrix of differential pathway enrichment between patients located in H-PDAC and BT-PDAC. Table S6F Matrix of differentially expressed proteins between patients located in H-PDAC and BT-PDAC.

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)0.014
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.419
Threshold uncertainty score0.829

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.4190.073

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 head0.047
GPT teacher head0.320
Teacher spread0.272 · 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 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
Published2022
Admission routes1
Has abstractyes

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