Evidence map›Paper›PMID 34527943›Full record

ArticleFrontiers in big data2021

Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data.

Maria Luiza M Campos, Eugênio Silva, Renato Cerceau, Sérgio Manuel Serra da Cruz, Fabricio A B Silva, Fábio C Gouveia, Rodrigo Jardim, Nelson Kotowski, Giseli Rabello Lopes, Alberto M R Dávila

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in big data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Maria Luiza M CamposInstituto de Computação, Universidade Federal do Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil.
Eugênio SilvaUnidade de Computação (Ucomp), Centro Universitario Estadual da Zona Oeste (UEZO), Rio de Janeiro, Brazil.
Renato CerceauInstituto Nacional de Cardiologia, INC, Rio de Janeiro, Brazil.
Sérgio Manuel Serra da CruzInstituto de Computação, Universidade Federal do Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil.
Fabricio A B SilvaPROCC, FIOCRUZ, Rio de Janeiro, Brazil.
Fábio C GouveiaCasa de Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil.
Rodrigo JardimLaboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil.
Nelson KotowskiLaboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil.
Giseli Rabello LopesInstituto de Computação, Universidade Federal do Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil.
Alberto M R DávilaLaboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencecancerCOVID-19Findable, Accessible, Interoperable, and Reusablemetadata

Identifiers

PMID34527943
PMCPMC8437372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.