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Record W4292543381 · doi:10.1016/j.jmsacl.2022.07.007

Corrigendum to “Analytical validation of protein biomarkers for risk of spontaneous preterm birth” [Clin. Mass Spectrom. 3 (2017) 25–38]

2022· erratum· en· W4292543381 on OpenAlexaff
Chad Bradford, Rob Severinsen, Trina Pugmire, Matison Rasmussen, Kathryn Stoddard, Yuta Uemura, Spencer Wheelwright, Marija Mentinova, Daniel Chelsky, Stephen W. Hunsucker, Paul A. Kearney, Durlin E. Hickok, Tracey C. Fleischer, Ilia Ichetovkin, J. Jay Boniface, Gregory C. Critchfield, John M. Peltier

Bibliographic record

VenueJournal of Mass Spectrometry and Advances in the Clinical Lab · 2022
Typeerratum
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsCaprion (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

[This corrects the article DOI: 10.1016/j.clinms.2017.06.002.].

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)0.011
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.060
GPT teacher head0.417
Teacher spread0.357 · 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 designNot applicable
Domainnot available
GenreEmpirical

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

Citations6
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Mass Spectrometry and Advances in the Clinical LabSame topicNeonatal Respiratory Health ResearchFrench-language works237,207