Bibliographic record
Abstract
ADVERTISEMENT RETURN TO BOOKPREVChapterNEXTPreface Ajay K. DalaiDr. Ajay K. Dalai Associate Dean, Research and Partnerships Professor and Canada Research Chair in Bio-Energy and Environmentally Friendly Chemical Processing College of Engineering, University of Saskatchewan 57 Campus Drive, Saskatoon, SK Canada S7N 5A9 [email protected] ; (306) 966-4768/4771 ; (306) 966-4777 http://www.engr.usask.ca/~dalai More by Dr. Ajay K. DalaiDOI: 10.1021/bk-2012-1092.pr001 This publication is free to access through this site. Learn MorePublication Date (Web):January 20, 2012Publication History Published online20 January 2012Published inprint 1 January 2012Request reuse permissions Copyright © 2012 American Chemical Society. This publication is available under these Terms of Use. Nanocatalysis for Fuels and Chemicalsp ixACS Symposium SeriesVol. 1092ISBN13: 9780841226852eISBN: 9780841226869Chapter Views912Citations-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 (95 KB) Get e-Alerts
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 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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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; both teacher heads agree on what is shown here.
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".