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Record W4312212850 · doi:10.3389/fimmu.2022.1110388

Corrigendum: Clinical efficacy, safety and tolerability of a new subcutaneous immunoglobulin 16.5% (Octanorm [Cutaquig®]) in the treatment of patients with primary immunodeficiencies

2022· erratum· en· W4312212850 on OpenAlexaff
Roger H. Kobayashi, Sudhir Gupta, Isaac Melamed, J. Fernando Mandujano, Ai Kobayashi, Bruce Ritchie, Bob Geng, T. Prescott Atkinson, Syed Shakil Ur Rehman, Eva Turpel-Kantor, Jiří Litzman

Bibliographic record

VenueFrontiers in Immunology · 2022
Typeerratum
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsAlberta Hospital EdmontonUniversity of Alberta Hospital
Fundersnot available
KeywordsTolerabilityMedicineAntibodyImmunologyPediatricsAdverse effectInternal medicine

Abstract

fetched live from OpenAlex

efficacy, safety and tolerability of a new subcutaneous immunoglobulin 16.5% (Octanorm [Cutaquig®]) in the treatment of patients with primary immunodeficiencies

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)0.002
metaresearch head score (Gemma)0.013
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 score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0190.017

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 head0.231
Teacher spread0.220 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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