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Record W3027675976 · doi:10.1039/d0an90050h

Correction: Glutamate sensing in biofluids: recent advances and research challenges of electrochemical sensors

2020· erratum· en· W3027675976 on OpenAlexaff
Jessica Schultz, Zakir Uddin, Gurmit Singh, Matiar M. R. Howlader

Bibliographic record

VenueThe Analyst · 2020
Typeerratum
Languageen
FieldEngineering
TopicAdvanced Chemical Sensor Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsElectrochemistryNanotechnologyData scienceComputer scienceMaterials scienceChemistryElectrodePhysical chemistry

Abstract

fetched live from OpenAlex

Correction for 'Glutamate sensing in biofluids: recent advances and research challenges of electrochemical sensors' by Jessica Schultz et al., Analyst, 2020, 145, 321-347. DOI: 10.10.1039/C9AN01609K.

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)0.004
metaresearch head score (Gemma)0.054
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.048
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.054
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0040.004
Scholarly communication0.0050.003
Open science0.0040.003
Research integrity0.0080.016
Insufficient payload (model declined to judge)0.0480.057

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 head0.030
GPT teacher head0.289
Teacher spread0.259 · 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
GenreEditorial

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

Citations3
Published2020
Admission routes1
Has abstractyes

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