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Record W2086638464 · doi:10.1002/anie.200490013

Cover Picture: Antifreeze Glycoproteins: Elucidation of the Structural Motifs That Are Essential for Antifreeze Activity (Angew. Chem. Int. Ed. 7/2004)

2004· paratext· en· W2086638464 on OpenAlexaff
Yuki Tachibana, Garth L. Fletcher, Naoki Fujitani, Sakae Tsuda, Kenji Monde, Shin‐Ichiro Nishimura

Bibliographic record

VenueAngewandte Chemie International Edition · 2004
Typeparatext
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAntifreezeChemistryGlycoproteinPolarStereochemistryCrystallographyBiochemistryPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

Antifreeze glycoproteins (AFGPs) found in the body fluids of polar fish are known to protect them from freezing by suppressing ice‐crystal growth. The essential structural motifs of AFGPs were revealed by using a combination of chemical synthesis and spectroscopic analysis. The amphiphatic AFGPs form a threefold left‐handed axis, which enables the sugar moieties to cluster on one side of the molecule. For further details see the Communication by S.‐I. Nishimura and co‐workers on page 856 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 categoriesInsufficient payload (model declined to judge)
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 score0.486
Threshold uncertainty score0.733

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.4860.265

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 head0.014
GPT teacher head0.251
Teacher spread0.237 · 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.

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
Published2004
Admission routes1
Has abstractyes

Explore more

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