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Record W3047385556 · doi:10.1186/s13023-020-01464-y

Correction to: Consensus guideline for the diagnosis and treatment of tetrahydrobiopterin (BH4) deficiencies

2020· erratum· en· W3047385556 on OpenAlexaff
Thomas Opladen, Eduardo López‐Laso, Elisenda Cortès‐Saladelafont, Toni S. Pearson, Serap Sivri, Yılmaz Yıldız, Birgit Assmann, Manju A. Kurian, Vincenzo Leuzzi, Simon Heales, Simon Pope, Francesco Porta, Ángeles García‐Cazorla, Tomáš Honzík, Roser Pons, Luc Régal, Helly Goez, Rafael Artuch, Georg F. Hoffmann, Gabriella Horváth, Beat Thöny, Sabine Scholl‐Bürgi, Alberto Burlina, Marcel M. Verbeek, Mario Mastrangelo, Jennifer Friedman, Tessa Wassenberg, Kathrin Jeltsch, Jan Kulhánek, Oya Kuseyri Hübschmann

Bibliographic record

VenueOrphanet Journal of Rare Diseases · 2020
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsBC Children's HospitalUniversity of British ColumbiaGlenrose Rehabilitation HospitalUniversity of Alberta
FundersRosetrees TrustNational Institute for Health and Care Research
KeywordsTetrahydrobiopterinGuidelineHuman geneticsMedicinePolitical scienceIntensive care medicineBiologyLawGeneticsInternal medicine

Abstract

fetched live from OpenAlex

An amendment to this paper has been published and can be accessed via the original article.

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)0.005
metaresearch head score (Gemma)0.048
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 score0.043
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0430.035

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 head0.017
GPT teacher head0.273
Teacher spread0.256 · 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

Citations25
Published2020
Admission routes1
Has abstractyes

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