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Record W4393707779 · doi:10.5281/zenodo.8214528

Crystal structures of SARS-CoV-2 main protease screened against COVID Moonshot compounds by X-ray Crystallography at the XChem facility of Diamond Light Source

2023· dataset· en· W4393707779 on OpenAlexaff
D. Fearon, A. Aimon, J.C. Aschenbrenner, Blake Balcomb, I.A. Barker, F.K.R. Bertram, J. Brandão-Neto, Alexandre Dias, A. Douangamath, Louise Dunnett, A.S. Godoy, T.J. Gorrie-Stone, L. Koekemoer, T. Krojer, Ryan Lithgo, Petra Lukacik, Peter Marples, Halina Mikolajek, Elliot R Nelson, N.H.V. Kutumbarao, David Owen, A.J. Powell, V.L. Rangel, R. Skyner, Claire Strain‐Damerell, Warren Thompson, Charles W.E. Tomlinson, Conor Wild, Martin Walsh, F. von Delft

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsDiscovery Centre
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakCrystal structureX-ray crystallographyMaterials scienceCrystallographyChemistryVirologyPhysicsBiologyMedicineOpticsDiffraction

Abstract

fetched live from OpenAlex

Bulk repositiory of structures of SARS-CoV-2 main protease in complex with COVID Moonshot inhibtor compounds

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)0.001
metaresearch head score (Gemma)0.003
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.032
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0320.027

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 head0.032
GPT teacher head0.251
Teacher spread0.219 · 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
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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