Erratum: The critical role of water in spider silk and its consequence for protein mechanics (Nanoscale (2011) 3 (DOI: 10.1039/c1nr10502g))
Bibliographic record
Abstract
The critical role of water in spider silk and its consequence for protein mechanics Cameron P. Brown, Jennifer MacLeod, Heinz Amenitsch, Fernando Cacho-Nerin, Harinderjit S. Gill, Andrew J. Price, Enrico Traversa, Silvia Licoccia and Federico Rosei Nanoscale , 2011, 3 , (DOI: 10.1039/c1nr10502g). Amendment published 18 th August 2011. The list of authors and affiliations should read as follows: Cameron P. Brown,* abcd Jennifer MacLeod, c Heinz Amenitsch, e Fernando Cacho-Nerin , e Harinderjit S. Gill, a Andrew J. Price, a Enrico Traversa, df Silvia Licoccia, bd and Federico Rosei, cd a Botnar Research Centre, University of Oxford, Oxford, UK. E-mail: cameron.brown@ndorms.ox.ac.uk b Centro NAST, Dipartimento di Scienze e Tecnologie Chimiche, Universita ` di Roma Tor Vergata, via Della Ricerca Scientifica, 000133, Roma, Italy c Institut National de la Recherche Scientifique, Universite du Que bec, 1650 boulevard Lionel-Boulet, Varennes, QC, Canada. E-mail: rosei@emt.inrs.ca d Italy-Quebec Joint Laboratory in Nanostructured Materials for Energy, Catalysis and Biomedical Applications e Institute for Biophysics and Nanosystems Research, Schmiedlstr. 6, 8042, Graz, Austria f International Research Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".