Evidence map›Paper›PMID 31905686›Full record

ArticleSensors (Basel, Switzerland)2019

Input-Adaptive Proxy for Black Carbon as a Virtual Sensor.

Pak Lun Fung, Martha A Zaidan, Salla Sillanpää, Anu Kousa, Jarkko V Niemi, Hilkka Timonen, Joel Kuula, Erkka Saukko, Krista Luoma, Tuukka Petäjä and 3 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
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

3 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Twelve-Year Analysis of NOSensors (Basel, Switzerland) · 2020
    Article
  3. Article
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

13 authors at 4 institutions in 2 countries.

Pak Lun FungInstitute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.ORCID 0000-0003-3493-1383
Martha A ZaidanInstitute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.ORCID 0000-0002-6348-1230
Salla SillanpääInstitute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
Anu KousaHelsinki Region Environmental Services Authority (HSY), P.O. Box 100, FI-00066 Helsinki, Finland.
Jarkko V NiemiHelsinki Region Environmental Services Authority (HSY), P.O. Box 100, FI-00066 Helsinki, Finland.
Hilkka TimonenAtmospheric Composition Research, Finnish Meteorological Institute, FI-00560 Helsinki, Finland.ORCID 0000-0002-7987-7985
Joel KuulaAtmospheric Composition Research, Finnish Meteorological Institute, FI-00560 Helsinki, Finland.ORCID 0000-0003-3270-5972
Erkka SaukkoPegasor Oy, FI-33100 Tampere, Finland.
Krista LuomaInstitute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
Tuukka PetäjäInstitute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
Sasu TarkomaDepartment of Computer Science, University of Helsinki, FI-00560 Helsinki, Finland.
Markku KulmalaInstitute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
Tareq HusseinInstitute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.ORCID 0000-0002-0241-6435
University of Helsinki · FIFinnish Food Authority · FIFinnish Meteorological Institute · FIUniversity of Jordan · JO

Funding

Urban Innovative Actions UIA03-240
6 · The paper itself

Abstract

Missing data has been a challenge in air quality measurement. In this study, we develop an input-adaptive proxy, which selects input variables of other air quality variables based on their correlation coefficients with the output variable. The proxy uses ordinary least squares regression model with robust optimization and limits the input variables to a maximum of three to avoid overfitting. The adaptive proxy learns from the data set and generates the best model evaluated by adjusted coefficient of determination (adjR

Indexed as

air qualityblack carboninput-adaptive proxyrobust linear regressionstreet canyonurban backgroundvirtual sensor

Identifiers

PMID31905686
PMCPMC6982708
OpenAlexW2997181641

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.