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International alliance and AGREE-ment of 71 clinical practice guidelines on the management of critical care patients with COVID-19: a living systematic review

2021· review· en· W3211885944 on OpenAlexaff
Yasser Sami Amer, Maher A. Titi, Mohammad W. Godah, Hayfaa Wahabi, Layal Hneiny, Manal Abouelkheir, Muddathir H. Hamad, Ghada Elgohary, Mohamed Ben Hamouda, Hella Ouertatani, Pamela Velásquez-Salazar, Jorge Acosta‐Reyes, Samia Alhabib, Samia Esmaeil, Zbys Fedorowicz, Ailing Zhang, Zhe Chen, Sarah Liptrott, Niccolò Frungillo, Amr Jamal, Sami Almustanyir, Newman Ugochukwu Dieyi, John Powell, Katrina J. Hon, Rasmieh Alzeidan, Majduldeen Azzo, Sara Zambrano-Rico, Paulina Ramirez-Jaramillo, Iván D. Flórez

Bibliographic record

VenueJournal of Clinical Epidemiology · 2021
Typereview
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsMcMaster UniversityMemorial University of Newfoundland
FundersDeanship of Scientific Research, King Saud UniversityKing Saud UniversityNational Institute for Health and Care Research
KeywordsAllianceCoronavirus disease 2019 (COVID-19)MedicineClinical Practice2019-20 coronavirus outbreakFamily medicineMEDLINEIntensive care medicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicVirologyPolitical sciencePathology

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)0.105
metaresearch head score (Gemma)0.294
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 score0.105
Threshold uncertainty score0.557

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1050.294
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0090.014
Bibliometrics0.0180.012
Science and technology studies0.0020.003
Scholarly communication0.0060.006
Open science0.0040.008
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.737
GPT teacher head0.707
Teacher spread0.030 · 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

Citations32
Published2021
Admission routes1
Has abstractno

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