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S112 Long-term safety and efficacy of ivacaftor in pediatric patients aged 2-5 years with cystic fibrosis and a cftr gating mutation

2016· article· en· W4249503169 on OpenAlexfundno aff

Bibliographic record

VenueThorax · 2016
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsnot available
FundersFonds de Recherche du Québec - SantéGlaxoSmithKlineReseau canadien de recherche respiratoireAstraZenecaMcGill University Health CentrePfizer
KeywordsIvacaftorMedicineStock (firearms)Cystic fibrosisStock optionsClinical trialFamily medicineInternal medicineFinanceCystic fibrosis transmembrane conductance regulatorBusinessEngineering

Abstract

fetched live from OpenAlex

JC Davies has served on advisory boards, undertaken educational activities, and served as national/site principal investigator for trials, for which her institution has received funding from Vertex Pharmaceuticals Incorporated. S Robertson is an employee of Vertex Pharmaceuticals Incorporated and may own stock or stock options in that company. J Cooke is an employee of Vertex Pharmaceuticals Incorporated and may own stock or stock options in that company. M Higgins is an employee of Vertex Pharmaceuticals Incorporated and my own stock or stock options in that company. M Rosenfeld: has served as a national and site investigator for trials and as a consultant, for which her institution received funding from Vertex Pharmaceuticals Incorporated.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.010
GPT teacher head0.286
Teacher spread0.277 · 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 designNon-randomized trial
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

Citations0
Published2016
Admission routes1
Has abstractyes

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