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Record W3208440095 · doi:10.1364/cosi.2021.ctu4b.3

Local methods to improve cryo-electron microcopy maps

2021· article· en· W3208440095 on OpenAlexaff
Satinder Kaur, Josué Gómez-Blanco, Ahmad Abdelzaher Zaki Khalifa, Swathi Adinarayanan, Rubén Sánchez-García, Daniel Wrapp, Jason S. McLellan, Khanh Huy Bui, Javier Vargas

Bibliographic record

VenueOSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP) · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Electron Microscopy Techniques and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsInterpretabilitySharpeningCryo-electron microscopyComputer scienceArtificial intelligenceData scienceNanotechnologyMaterials sciencePhysicsNuclear magnetic resonance

Abstract

fetched live from OpenAlex

Cryo-electron microscopy (cryo-EM) has become a powerful technique for protein structure determination. However, there are still important issues to be addressed, such as, robust sharpening or local B-factors estimations. To address these issues, we present here new local methods to improve the analysis and interpretability of cryo-EM maps.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.242
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.317
Teacher spread0.312 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreMethods

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)Same topicAdvanced Electron Microscopy Techniques and ApplicationsFrench-language works237,207