Bibliographic record
Abstract
ADVERTISEMENT RETURN TO BOOKPREVChapterNEXTPrefaceAlan E. TonelliAlan E. Tonelli Wilson College of Textiles North Carolina State University 1020 Main Campus Drive Raleigh, North Carolina 27606-8301, United States More by Alan E. Tonelli and Gary PattersonGary Patterson Department of Chemistry Carnegie Mellon University 3725 Wauna Vista Drive Vancouver, Washington 98661, United States More by Gary PattersonDOI: 10.1021/bk-2020-1356.pr001 This publication is free to access through this site. Learn MorePublication Date (Web):September 15, 2020Publication History Published online15 September 2020Published inprint 1 January 2020Request reuse permissions Copyright © 2020 American Chemical Society. This publication is available under these Terms of Use. Modern Applications of Flory's "Statistical Mechanics of Chain Molecules"pp ix-xACS Symposium SeriesVol. 1356ISBN13: 9780841298866eISBN: 9780841298859Chapter Views151Citations-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 (1 MB) 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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.787 | 0.703 |
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".