Missing value imputation for > 2 MeV electron fluxes in geostationary orbit based on GA-RF model.

Meihua Fang, Dingyi Song, JianFei Chen, Biao Wang, Mengyun He, Yukuan Ma

Abstract read

In one paragraph

Article in Scientific reports, 2025. 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

6 authors.

Meihua FangNanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. fmh_medphys@nuaa.edu.cn.

Dingyi SongNanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.

JianFei ChenChina Helicopter Research and Development Institute, Jingdezhen, 333000, China.

Biao WangNanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.

Mengyun HeNanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.

Yukuan MaNanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A genetic algorithm-optimized random forest algorithm (GA-RF) model is constructed to impute large-scale missing data for 5-min averaged data of > 2 MeV electron integral fluxes from GOES-E/W satellites. The model inputs include V, Vx, the proton density, the SYM/H index, B, B

Indexed as

Data imputationGA-RF modelHigh-energy electron fluxLarge-scale missing data

Identifiers

PMID40140653

DOI10.1038/s41598-025-87082-9

PMCPMC11947282

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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.