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Record W4380886189 · doi:10.1002/ppul.26552

Cover Image, Volume 58, Number 7, July 2023

2023· paratext· en· W4380886189 on OpenAlexaffabout
Julia Hunter‐Schouela, Michael T. Geraghty, Robert A. Hegele, David A. Dyment, David St Pierre, Julie Richer, Holden Sheffield, Maimoona A. Zariwala, Michael R. Knowles, Anna Lehman, Sharon Dell, Adam J. Shapiro, Thomas Kovesi

Bibliographic record

VenuePediatric Pulmonology · 2023
Typeparatext
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsMcGill University Health CentreBC Children's HospitalUniversity of British ColumbiaGenome British ColumbiaRobarts Clinical TrialsWestern UniversityNunavut Research InstituteMcGill UniversityChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsCover (algebra)Primary ciliary dyskinesiaMedicineImage (mathematics)Volume (thermodynamics)Front coverArtificial intelligenceInternal medicineBronchiectasisLungComputer science

Abstract

fetched live from OpenAlex

Front Cover Caption: The cover image is based on the Original Article First reports of primary ciliary dyskinesia caused by a shared DNAH11 allele in Canadian Inuit by Julia Hunter-Schouela et al., https://doi.org/10.1002/ppul.26414. Image Credit: Tom Kovesi.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.913
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9130.804

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 head0.011
GPT teacher head0.277
Teacher spread0.266 · 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.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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