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Record W3096390234 · doi:10.1016/j.apmr.2020.10.113

A Consensus Statement for the Management and Rehabilitation of Communication and Swallowing Function in the ICU: A Global Response to COVID-19

2020· article· en· W3096390234 on OpenAlexaff
Amy Freeman–Sanderson, Elizabeth C. Ward, Anna Miles, Irene de Pedro Netto, Sallyanne Duncan, Yoko Inamoto, Jackie McRae, Natasha Pillay, Stacey A. Skoretz, Margaret Walshe, Martin B. Brodsky, Sally Archer, Sonia Baker, Liza Bergström, Clare L. Burns, Tanis S. Cameron, Michelle Cimoli, Nicola Clayton, Gemma Clunie, Therese Cole, Camilla Dawson, Karen Dikeman, Brooke Duggan, Leanie Engelbrecht, Nicole Langton‐Frost, Bronwyn Hemsley, Hanneke Kalf, Marta Kazandjian, Sunaina Lakha, Stevie Marvin, Melanie McIntyre, Jo Puntil‐Sheltman, José Ribamar do Nascimento, Debra M. Suiter, Anna‐Liisa Sutt, Charissa J. Zaga

Bibliographic record

VenueArchives of Physical Medicine and Rehabilitation · 2020
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsSt. Paul's HospitalUniversity of AlbertaUniversity of British Columbia
FundersTechnische Universiteit DelftPublic Health Agency
KeywordsDelphi methodLikert scaleMedicineWorkforceRehabilitationPhysical therapyDelphiPsychologyNursingFamily medicinePolitical scienceComputer science

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)0.095
metaresearch head score (Gemma)0.122
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: Editorial · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.501

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0950.122
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0050.004
Science and technology studies0.0070.005
Scholarly communication0.0090.006
Open science0.0080.013
Research integrity0.0260.032
Insufficient payload (model declined to judge)0.0040.003

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 head0.043
GPT teacher head0.426
Teacher spread0.383 · 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
GenreEditorial

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

Citations39
Published2020
Admission routes1
Has abstractno

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