MétaCan
Menu
Back to cohort

Global statements to produce and implement evidence in the post-COVID-19 era provide a path forward for rehabilitation. A joint initiative of Cochrane Rehabilitation and the leading journals in the field

2022· article· en· W4304184120 on OpenAlexaff
Stefano Négrini, Kristian Borg, Anne Cusick, Giorgio Ferriero, Walter R. Frontera, Douglas P. Gross, Allen W. Heinemann, Wendy Machalicek, Ann Moore, Randolph J. Nudo, Dominic Pérénnou, Henk J. Stam, Carlotte Kiekens

Bibliographic record

VenueEuropean Journal of Physical and Rehabilitation Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineRehabilitationCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakPath (computing)Physical medicine and rehabilitationJoint (building)Field (mathematics)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Physical therapyVirology

Abstract

fetched live from OpenAlex

status: Published

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)0.479
metaresearch head score (Gemma)0.677
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.521
Threshold uncertainty score0.642

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4790.677
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0090.011
Bibliometrics0.0240.017
Science and technology studies0.0070.016
Scholarly communication0.0380.026
Open science0.0130.029
Research integrity0.0470.038
Insufficient payload (model declined to judge)0.0250.019

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 head0.041
GPT teacher head0.391
Teacher spread0.350 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
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

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Physical and Rehabilitation MedicineSame topicCerebral Palsy and Movement DisordersFrench-language works237,207