ArticleProceedings of the National Academy of Sciences of the United States of America2024
Reply to Wang: Clarifying model performance and language markers of depression across races.
Sunny Rai, Elizabeth C Stade, Salvatore Giorgi, Ashley Francisco, Adithya V Ganesan, Lyle H Ungar, Brenda Curtis, Sharath C Guntuku
Abstract readLetterComment
In one paragraphArticle in Proceedings of the National Academy of Sciences of the United States of America, 2024. 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
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0citing papers in PubMed
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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 registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
8 authors.
Sunny RaiDepartment of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-0677-3747 Elizabeth C StadeInstitute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA 94305.ORCID 0000-0001-6409-848X Salvatore GiorgiDepartment of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104.
Ashley FranciscoDepartment of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-4912-3787 Adithya V GanesanDepartment of Computer Science, Stony Brook University, Stony Brook, NY 11794.
Lyle H UngarDepartment of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0003-2047-1443 Brenda CurtisTechnology & Translational Research Unit, National Institute on Drug Abuse Intramural Research Program, NIH, Baltimore, MD 21224.
Sharath C GuntukuDepartment of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104.
Funding
Digital Markers in Relapse and RecoveryZIADA000628 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI CURTIS, BRENDA · 2019 to 2025
$10.0MLarge-scale Data Scientific Assessment of Unhealthy Alcohol Consumption Among Front-Line Restaurant WorkersR01AA028032 · NIAAA · STATE UNIVERSITY NEW YORK STONY BROOK · PI SCHWARTZ, HANSEN ANDREW · 2020 to 2023
$2.5MInvestigating and identifying the heterogeneity in COVID-19 misinformation exposure on social media among Black and Rural communities to inform precision public health messagingR01MD018340 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI GUNTUKU, SHARATH CHANDRA · 2022 to 2024
$2.4MChanges in Substance Use Following COVID-19: Harnessing Digital PhenotypingZIADA000632 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI CURTIS, BRENDA · 2020 to 2022
$1.3MHHS | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) R01 AA028032-01HHS | NIH | National Institute on Minority Health and Health Disparities (NIMHD) R01MD018340HHS | NIH | NIDA | Intramural Research Program (IRP) ZIA-DA000628 ZIA DA000632Intramural NIH HHS ZIA DA000632NIAAA NIH HHS R01 AA028032NIMHD NIH HHS R01 MD018340
6 · The paper itselfAbstract
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Indexed as
DepressionLanguageHumansRacial Groups
Identifiers
PMID39052830
PMCPMC11295057
What OpenQuestion holds
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