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Record W31937292 · doi:10.1186/s12889-020-8159-1

Клинические исследования лекарственных препаратов в педиатрии: проблемы и достижения

2010· article· ru· W31937292 on OpenAlexfundaboutno aff
С.С. Завидова, Leyla S. Namazova-Baranova, С. В. Тополянская

Bibliographic record

VenueПедиатрическая фармакология · 2010
Typearticle
Languageru
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsnot available
FundersFondation de la recherche en santé du Nouveau-BrunswickCanadian Diabetes Association
KeywordsMedicineImpossibilityClinical trialPolitical sciencePathologyLaw

Abstract

fetched live from OpenAlex

The new drugs introduction in practice demands long multistage preliminary studying of efficacy and safety for children. The information on necessity of carrying out of such researches, on impossibility of «carrying over» of the data received in adult patients to children is given in this article. The historical inquiry confirming necessity of participation of the state for the decision of this problem and carrying out of clinical researches is presented. Key words: drugs, efficacy, safety, clinical trials, children. (Pediatric Pharmacology. – 2010; 7(1):6-14)

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)0.002
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.081
GPT teacher head0.434
Teacher spread0.353 · 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
GenreReview

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
Published2010
Admission routes2
Has abstractyes

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