MétaCan
Menu
Back to cohort
Record W3093302982 · doi:10.1016/s2352-4642(20)30277-7

Delivering transformative action in paediatric pain: a Lancet Child & Adolescent Health Commission

2020· review· en· W3093302982 on OpenAlexafffund
Christopher Eccleston, Emma Fisher, Richard F. Howard, Rebeccah Slater, Paula Forgeron, Tonya M. Palermo, Kathryn A. Birnie, Brian J. Anderson, Christine T. Chambers, Geert Crombez, Gustaf Ljungman, Isabel Jordán, Zachary Jordan, Caitriona Roberts, Neil L. Schechter, Christine B. Sieberg, Dick Tibboel, Suellen M. Walker, Dominic Wilkinson, Chantal Wood

Bibliographic record

VenueThe Lancet Child & Adolescent Health · 2020
Typereview
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsSquamish NationUniversity of CalgaryDalhousie UniversityIzaak Walton Killam Health CentreUniversity of Ottawa
FundersNational Institutes of HealthInstitute of Human Development, Child and Youth HealthWockhardtGreat Ormond Street Hospital CharityCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchRegeneron PharmaceuticalsNational Institute of General Medical SciencesMAYDAY FundVersus ArthritisU.S. Department of Defense
KeywordsMedicineChronic painDiseaseHealth careDistressVaso-occlusive crisisPain and sufferingPsychiatryIntensive care medicinePhysical therapySickle cell anemiaInternal medicineClinical psychology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.009
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0120.003

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 head0.109
GPT teacher head0.386
Teacher spread0.276 · 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

Citations307
Published2020
Admission routes2
Has abstractno

Explore more

Same venueThe Lancet Child & Adolescent HealthSame topicPediatric Pain Management TechniquesFrench-language works237,207