Evidence map›Paper›PMID 33424103›Full record

ArticleJournal of Great Lakes research2020

Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.

Molly J Wick, Ted R Angradi, Matthew B Pawlowski, David Bolgrien, Rick Debbout, Jonathon Launspach, Mari Nord

Open access · greenAbstract read
In one paragraph

Article in Journal of Great Lakes research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. Rapid assessment ofHydrobiologia · 2021
    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

7 authors at 3 institutions in 1 country.

Molly J WickORISE (Oak Ridge Institute for Science and Education), Oak Ridge, TN 37831, USA.
Ted R AngradiGreat Lakes Toxicology and Ecology Division, Center for Computational Toxicology & Exposure, U.S. Environmental Protection Agency, Office of Research and Development, Duluth, MN 55804, USA.
Matthew B PawlowskiGreat Lakes National Program Office, U.S. Environmental Protection Agency, Chicago, IL 60604, USA.
David BolgrienGreat Lakes Toxicology and Ecology Division, Center for Computational Toxicology & Exposure, U.S. Environmental Protection Agency, Office of Research and Development, Duluth, MN 55804, USA.
Rick DebboutGDIT, Falls Church, VA 22042, USA.
Jonathon LaunspachGDIT, Falls Church, VA 22042, USA.
Mari NordU.S. Environmental Protection Agency, Region 5, Chicago, IL 60604, USA.
Environmental Protection Agency · USOak Ridge Associated Universities · USIllinois Environmental Protection Agency · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Underwater video is increasingly used to study aspects of the Great Lakes benthos including the abundance of round goby and dreissenid mussels. The introduction of these two species have resulted in major ecological shifts in the Great Lakes, but the species and their impacts have heretofore been underassessed due to limitations of monitoring methods. Underwater video (UVID) can "sample" hard bottom sites where grab samplers cannot. Efficient use of UVID data requires affordable and accurate classification and analysis tools. Deep Lake Explorer (DLE) is a web application developed to support crowdsourced classification of UVID collected in the Great Lakes. Volunteers (i.e., the crowd) used DLE to classify 199 videos collected in the Niagara River, Lake Huron, and Lake Ontario for the following attributes: round goby,

Indexed as

benthoscitizen sciencecrowdsourcingDreissenaGreat Lakesround gobyunderwater video

Identifiers

PMID33424103
PMCPMC7787985
OpenAlexW3047337181

What OpenQuestion holds

Textmetadata
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.