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Record W4229367662 · doi:10.1016/j.jcrc.2022.154050

Variation in communication and family visiting policies in intensive care within and between countries during the Covid-19 pandemic: The COVISIT international survey

2022· article· en· W4229367662 on OpenAlexaff
Alexis Tabah, Muhammed Elhadi, E Ballard, Andrea Cortegiani, Maurizio Cecconi, Takeshi Unoki, Laurą Galarza, Régis Goulart Rosa, François Barbier, Élie Azoulay, Kevin B. Laupland, Nathalie Ssi Yan Kai, Marlies Ostermann, Guy François, Jan J. De Waele, Kirsten M. Fiest, Peter E. Spronk, Julie Benbenishty, Mariangela Pellegrini, Louise Rose, Mahesh Ramanan, Rachel L. Bailey, Irmgard Kronberger, Anis Cerovac, Wendy Sligl, Jasminka Peršec, Eddy Lincango-Naranjo, Nermin Osman, Yousef Tanas, Yomna E. Dean, Ahmed M. Abbas, Mohamed Elbahnasawy, Eslam M Elshennawy, Omar Elmandouh, Fatima Hamed Ahmed, Despoina Koulenti, Ioannis Tsakiridis, Mohan Gurjar, Marilaeta Cindryani, Ata Mahmoodpoor, Hogir Imad Rasheed Aldawoody, Francesco Zuccaro, Pasquale Iozzo, Mariachiara Ippolito, Yukiko Katayama, Tomoki Kuribara, Satoko Miyazaki, Asami Nakayama, Akira Ouchi, Hideaki Sakuramoto, Mitsuhiro Tamoto, Toru Yamada, Hashem Abu Serhan, Saqr Alsakarneh, Zhannur Kaligozhin, Dmitriy Viderman, Lina Karout, Mohd Shahnaz Hasan, Andee Dzulkarnaen Zakaria, Silvio A. Ñamendys‐Silva, Lajpat Rai, Antonio Thaddeus R. Abello, Pedro Póvoa, Dana Tomescu, E. S. Drozdov, Alberto Orejas Gallego, U M Jariod-Ferrer, Bernardo Nuñez-Garçia, Ahmed Ibrahim, Abram Raymon Moneer George, Marie‐Madlen Jeitziner, Kemal Tolga Saraçoğlu, Arda Işık, Abdullah Tarık Aslan, Tomasz Torliński

Bibliographic record

VenueJournal of Critical Care · 2022
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsAlberta Health ServicesUniversity of Calgary
FundersEuropean Society of Intensive Care Medicine
KeywordsPandemicIntensive careMedicineCoronavirus disease 2019 (COVID-19)Government (linguistics)Telephone surveyMandateVideoconferencingPreparednessHealth careMedical emergencyFamily medicineNursingBusinessAdvertisingTelecommunicationsIntensive care medicine

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.154
GPT teacher head0.453
Teacher spread0.299 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations57
Published2022
Admission routes1
Has abstractno

Explore more

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