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Record W2103359617 · doi:10.1002/chem.200790040

Cover Picture: Optimal Attachment Position and Linker Length Promote Native‐like Character of Cavitand‐Based Template‐Assembled Synthetic Proteins (TASPs) (Chem. Eur. J. 13/2007)

2007· paratext· en· W2103359617 on OpenAlexaff
Emily S. Seo, Walter R. P. Scott, Suzana K. Straus, John C. Sherman

Bibliographic record

VenueChemistry - A European Journal · 2007
Typeparatext
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLinkerChemistryCharacter (mathematics)Side chainCavitandCombinatorial chemistryStereochemistryComputer scienceOrganic chemistryPolymerMoleculeSupramolecular chemistryMathematics

Abstract

fetched live from OpenAlex

How does your garden grow? With linkers (roots) between the template (pot) and the peptides (grape vines); the linkers affect the structural specificity of such template‐assembled synthetic proteins. Optimal linkers (roots) can promote the construction of a native‐like protein, which is characterised by well‐packed side‐chain groups (grapes). For more details see the Full Paper by J. C. Sherman et al. on page 3596 ff.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.275
Threshold uncertainty score0.921

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2750.065

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.

Opus teacher head0.010
GPT teacher head0.246
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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Same venueChemistry - A European JournalSame topicChemical Synthesis and AnalysisFrench-language works237,207