Bibliographic record
Abstract
ADVERTISEMENT RETURN TO BOOKPREVPrefaceNEXTPrefaceMichael J. MorelloMichael J. MorelloThe Quaker Oaks Company 617 West Main Street Barrington, IL 60010More by Michael J. Morello, Fereidoon ShahidiFereidoon ShahidiDepartment of Biochemistry Memorial University of Newfoundland St. John's NF, A1B 3X9 CanadaMore by Fereidoon Shahidi, and Chi-Tang HoChi-Tang HoDepartment of Food Science Rutgers, The State of New Jersey New Brunswick, NJ 08903More by Chi-Tang HoDOI: 10.1021/bk-2002-0807.pr001 This publication is free to access through this site. Learn MorePublication Date (Print):March 4, 2002Publication History Published online23 July 2009Published inprint 4 March 2002Request reuse permissions Copyright © 2002 American Chemical Society. This publication is available under these Terms of Use. Free Radicals in Foodpp xi-xiiACS Symposium SeriesVol. 807ISBN13: 9780841237414eISBN: 9780841218949Chapter Views136Citations-LEARN ABOUT THESE METRICSChapter 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. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (214 KB) Get e-Alerts
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.808 | 0.729 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".