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Record W6887939914 · doi:10.17632/s4r6xfdhjs.1

BioMnoTrpyCD

2022· dataset· en· W6887939914 on OpenAlexaboutno aff

Bibliographic record

VenueDIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsInformed consentEthics committeeDiseaseHelsinki declarationClinical trialChemokineMedical recordInclusion (mineral)

Abstract

fetched live from OpenAlex

Provided is raw data expressed as Ct values corresponding to gene expression of human chemokines and their receptors analyzed by using RT² Profiler™ PCR Array Human Chemokines & Receptors (GeneGlobe ID - PAHS-022Z, Qiagen) on a CFX Connect Real-Time PCR System (Biorad, Hercules, CA). Samples: Healthy, mildly and severely inflamed tissue biopsies were collected from all patients and preserved in RNAlater. Tissue samples were obtained from 20 patients of Cronh's disease, grouped by their treatment in 4 groups (untreated, adalimumab, ustekinumab and vedolizumab). Each treatment group has 5 patients associated, with 3 samples from each patient corresponding to the tissue's relative degree of inflammation (Healthy tissue, mildly inflamed tissue, severely inflamed tissue). Clinical and analytical characteristics of patients were recorded at inclusion in the study. Disease clinical activity was determined by Crohn’s disease activity index (CDAI)>150 and presence of clinical symptoms of relapse. Disease endoscopic activity was determined by Simple Endoscopic Score for Crohn Disease (SES-CD). All patients were Caucasian of Mediterranean ethnicity and were classified according to the Montreal classification. All included patients received diaries to record symptoms 1 week before inclusion and sample collection, and signed an informed consent to participate in the study. The study was approved by the Ethics Committee of Hospital General Universitario and performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. All patients gave their informed consent prior to their inclusion in the study.

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)0.038
metaresearch head score (Gemma)0.149
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient 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 score0.111
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0380.149
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.008
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0070.005
Research integrity0.0010.007
Insufficient payload (model declined to judge)0.1010.062

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 head0.345
GPT teacher head0.408
Teacher spread0.063 · 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
Published2022
Admission routes1
Has abstractyes

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Same venueDIGITAL.CSIC (Spanish National Research Council (CSIC))French-language works237,207