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Record W3024064267 · doi:10.1016/j.xjtc.2020.04.027

Commentary: Patience is a virtue

2020· editorial· en· W3024064267 on OpenAlexaff
Christoph Haller

Bibliographic record

VenueJTCVS Techniques · 2020
Typeeditorial
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsEtiologyScopusMedicinePopulationCirculatory systemPediatricsMEDLINEInternal medicine

Abstract

fetched live from OpenAlex

Mechanical assist devices are increasingly establishing their role in the treatment of pediatric heart failure. Since the inception of the Pediatric Interagency Registry for Mechanical Circulatory Support (PEDIMACS), more than 500 durable and temporary devices have been implanted, with a 74% survival at 6 months according to this registry.1 However, mechanical support for these patients faces unique challenges, driven by the heterogeneity of the pediatric population, off-label use of devices approved for adults, and limited economic appeal for the development of pediatric-specific devices.

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)0.070
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.047
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.070
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0060.010
Open science0.0050.003
Research integrity0.0470.068
Insufficient payload (model declined to judge)0.0370.021

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 head0.008
GPT teacher head0.240
Teacher spread0.232 · 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
GenreCommentary

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
Published2020
Admission routes1
Has abstractyes

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