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Record W3016283926 · doi:10.1039/d0sc90075c

Correction: Metal complexes as a promising source for new antibiotics

2020· article· en· W3016283926 on OpenAlexaff
Angelo Frei, Johannes Zuegg, Alysha G. Elliott, Murray V. Baker, Stefan Braese, Christopher Brown, Feng Chen, Christopher G. Dowson, Gilles Dujardin, Nicole Jung, Anna King, Ahmed M. Mansour, Massimiliano Massi, John Moat, Heba A. Mohamed, Anna K. Renfrew, Peter J. Rutledge, Peter J. Sadler, Matthew H. Todd, Charlotte E. Willans, Justin J. Wilson, Matthew A. Cooper, Mark A. T. Blaskovich

Bibliographic record

VenueChemical Science · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhenothiazines and Benzothiazines Synthesis and Activities
Canadian institutionsBentley (Canada)
Fundersnot available
KeywordsMetalChemistry

Abstract

fetched live from OpenAlex

Correction for ‘Metal complexes as a promising source for new antibiotics’ by Angelo Frei et al. , Chem. Sci. , 2020, 11 , 2627–2639.

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)0.003
metaresearch head score (Gemma)0.035
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: none
Teacher disagreement score0.053
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.035
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0030.003
Scholarly communication0.0050.003
Open science0.0040.003
Research integrity0.0090.015
Insufficient payload (model declined to judge)0.0530.039

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 head0.025
GPT teacher head0.267
Teacher spread0.243 · 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

Citations9
Published2020
Admission routes1
Has abstractyes

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Same venueChemical ScienceSame topicPhenothiazines and Benzothiazines Synthesis and ActivitiesFrench-language works237,207