MétaCan
Menu
Back to cohort
Record W1589099592 · doi:10.1002/ebch.1951

Cochrane in context: Monoclonal antibody for reducing the risk of respiratory syncytial virus infection in children

2013· article· en· W1589099592 on OpenAlexaboutno aff
Tea Andabaka, María Ximena Rojas

Bibliographic record

VenueEvidence-Based Child Health A Cochrane Review Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineContext (archaeology)Monoclonal antibodyVirusNiceExcellenceSystematic reviewRespiratory systemPalivizumabPediatricsIntensive care medicineImmunologyMEDLINEVirologyFamily medicineAntibodyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Cochrane Review: Monoclonal antibody for reducing the risk of respiratory syncytial virus infection in children Andabaka T, Nickerson JW, Rojas‐Reyes MX, Rueda JD, Bacic Vrca V, Barsic B. Monoclonal antibody for reducing the risk of respiratory syncytial virus infection in children. Cochrane Database of Systematic Reviews 2013, Issue 4. Art. No.: CD006602. DOI: 10.1002/14651858.CD006602.pub4 This companion piece to the review, “Monoclonal antibody for reducing the risk of respiratory syncytial virus infection in children,” contains the following pieces: The abstract of the review A commentary from one or more of the review authors, explaining why the review team felt the review was an important one to produce A review of clinical practice guidelines from the American Academy of Pediatrics, the Canadian Paediatric Society and the National Institute for Health and Care Excellence (NICE), United Kingdom Some other recently published references on this topic

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)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.058
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0090.011
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0160.001

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 head0.057
GPT teacher head0.429
Teacher spread0.372 · 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 designSystematic review
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

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueEvidence-Based Child Health A Cochrane Review JournalSame topicRespiratory viral infections researchFrench-language works237,207