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Record W2518780502 · doi:10.15200/winn.147074.43473

American Chemical Society AMA: I am Susan D. Richardson, Ph.D., a Professor of Chemistry at the University of South Carolina and expert on water treatment chemistry. Ask me anything about the chemistry of swimming pool disinfection!

2016· dataset· en· W2518780502 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Winnower · 2016
Typedataset
Languageen
FieldEnvironmental Science
TopicWater Treatment and Disinfection
Canadian institutionsnot available
FundersCape Breton University
KeywordsAsk priceChemistryEnvironmental ethicsPhilosophyEconomics

Abstract

fetched live from OpenAlex

Hi Reddit! Ask me anything about the chemistry of disinfecting water for swimming pools or other treatment needs!* I’m Susan D. Richardson, Ph.D., the Arthur Sease Williams Professor of Chemistry in the Department of Chemistry and Biochemistry at the University of South Carolina in Columbia, SC. Prior to coming to USC in January 2014, I was a research chemist for several years at the U.S. Environmental Protection Agency’s National Exposure Research Laboratory in Athens, GA. For the last several years, I’ve been conducting research in drinking water and in swimming pool water—specifically in the study of toxicologically important disinfection by-products (DBPs). These are the unintended consequence of trying to kill harmful microorganisms in drinking water and in pools. The disinfectants kill bacteria and contaminants that can cause deadly illnesses such as cholera, but they can interact with natural organic matter formed from decaying leaves and plants in rivers. Disinfectants like chlorine will react with that natural organic matter to form DBPs, that can in turn cause detrimental human health effects in drinking water, including bladder cancer, miscarriages, and birth defects. Pool DBPs have also been implicated in cases of asthma and bladder cancer. I work on identifying new DBPs or other unknown chemicals in the environment, drinking water, and pools using mass spectrometry. I also study wastewater treatment plants and the effects of disinfectants on river water. Most recently, I’ve started to investigate the impact of hydrofracking on DBPs in water. You can read about some of my newest research on DBPs in swimming pool and spa water in this Editor’s Choice open access article in Environmental Science & Technology and my work is also covered in a recent article from Chemical & Engineering News. My B.S. in chemistry and mathematics is from Georgia College & State University and my Ph.D. in chemistry is from Emory University. I also have an honorary doctorate from Cape Breton University in Canada and was recently named an ACS Fellow. I serve as an Associate Editor for Water Research, on the Editorial Advisory Board for Environmental Science & Technology, and write on emerging contaminants in water/environmental analysis for Analytical Chemistry. I’ll be on at 1pm EDT. I’m live now! I look forward to answering your questions! -sr

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.211
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it