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Record W4367017491 · doi:10.1021/cen-09928-scicon6

The structure of bleach

2021· article· en· W4367017491 on OpenAlexaboutno aff
special to C EN Mark Peplow

Bibliographic record

VenueC&EN Global Enterprise · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsBleachSodium hypochloriteOctahedronDisinfectantAqueous solutionCrystal structureChemistryHypochloriteCrystal (programming language)SodiumInorganic chemistryMaterials scienceNuclear chemistryCrystallographyOrganic chemistry

Abstract

fetched live from OpenAlex

Sodium hypochlorite has been used as a bleaching agent and disinfectant for over 200 years, and manufacturers produce more than 2 billion gallons of aqueous NaOCl every year. Yet despite that long history, chemists have only just determined its crystal structure ( Angew. Chem., Int. Ed. 2021, DOI: 10.1002/anie.202108843 ). “I think it’s one of those things that was hiding in plain sight, that somehow slipped through the cracks,” says McGill University’s Tomislav Friščić, who led the work. Solid sodium hypochlorite is highly hydrated (NaOCl∙5H 2 O) and rapidly liquefies at room temperature, so Friščić’s team carried out X-ray diffraction on a single crystal of the solid at –100 °C. This revealed alternating layers of hydrated sodium (Na + ) and hypochlorite (ClO – ) ions in the crystal. Each Na + is surrounded by an octahedron of six water molecules, while the other layer contains a chain of water

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.003
GPT teacher head0.183
Teacher spread0.180 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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