S-Nitrosylation of Cross-Linked Hemoglobins at β-Cysteine-93: Stabilized Hemoglobins as Nitric Oxide Sources
Why this work is in the frame
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Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVCommunicationNEXTS-Nitrosylation of Cross-Linked Hemoglobins at β-Cysteine-93: Stabilized Hemoglobins as Nitric Oxide SourcesJohn Paul Pezacki, Andrew Pelling, and Ronald KlugerView Author Information Lash Miller Laboratories Department of Chemistry, University of Toronto Toronto, Ontario, Canada M5S 3H6 Cite this: J. Am. Chem. Soc. 2000, 122, 43, 10734–10735Publication Date (Web):October 18, 2000Publication History Received8 August 2000Published online18 October 2000Published inissue 1 November 2000https://pubs.acs.org/doi/10.1021/ja005516xhttps://doi.org/10.1021/ja005516xrapid-communicationACS PublicationsCopyright © 2000 American Chemical SocietyRequest reuse permissionsArticle Views201Altmetric-Citations6LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Anatomy,Chemical structure,High-performance liquid chromatography,Oxygen,Peptides and proteins Get e-Alerts
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it