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Utilization of mechanical power and associations with clinical outcomes in brain injured patients: a secondary analysis of the extubation strategies in neuro-intensive care unit patients and associations with outcome (ENIO) trial
Sarah Wahlster, Monisha Sharma, Shaurya Taran, James A. Town, Robert D. Stevens, Raphaël Cinotti, Karim Asehoune, Paolo Pelosi, Chiara Robba, Paër-Sélim Abback, Anaïs Codorniu, Giuseppe Citerio, V. Sala, Marinella Astuto, Eleonora Tringali, Daniela Alampi, Monica Rocco, Jessica Giuseppina Maugeri, Agrippino Bellissima, Matteo Filippini, Nicoletta Lazzeri, Andrea Cortegiani, Mariachiara Ippolito, Denise Battaglini, Patrick Biston, Mohamed Fathi Al-Gharyani, Russell Chabanne, Léo Astier, Benjamin Soyer, Samuel Gaugain, Alice Zimmerli, Urs Pietsch, Miodrag Filipovic, Giovanna Brandi, Giulio Bicciato, Ainhoa Serrano, Berta Monleon, Peter Van de Vliet, Benjamin Marcel Gerretsen, Iris Xóchitl Ortiz-Macías, Jun Oto, Noriya Enomoto, Tomomichi Matsuda, Nobutaka Masui, Pierre Garçon, Jonathan Zarka, Wytze J. Vermeijden, Alexander D. Cornet, Sergio Reyes Inurrigarro, Rafael Cirino Lara Domínguez, Maria Mercedes Bellini, Maria Milagros Gomez Haedo, Laura Lamot, Jose Orquera, Matthieu Biais, Delphine Georges, Arvind Baronia, Roberto Carlos Miranda-Ackerman, Francisco José Barbosa‐Camacho, John Porter, Miguel Lopez-Morales, Thomas Geeraerts, Baptiste Compagnon, David Pérez-Torres, Estefanía Prol‐Silva, Hana Basheer Yahya, Ala Khaled, Mohamed Ghula, Cracchiolo Neville Andrea, Palma Maria Daniela, Cristian Deana, Luigi Vetrugno, Manuel J. Rivera Chavez, Rocio Mendoza Trujillo, Vincent Legros, Benjamin Brochet, Olivier Huet, Marie Geslain, Mathieu van der Jagt, Job van Steenkiste, Hazem Ahmed, Alexander Edward Coombs, Jessie Welbourne, Ana Alícia Velarde Pineda, Víctor Hugo Nubert Castillo, Mohammed A. Azab, Ahmed Y. Azzam, David Michael Paul van Meenen, Gilberto Adrian Gasca, Alfredo Arellano, Forttino Galicia-Espinosa, José Carlos García-Ramos, Ghanshyam Yadav, Amarendra Kumar Jha, Vincent Robert-Edan, Pierre-André Rodie-Talbere, Gaurav Jain, Sagarika Panda, Sonika Agarwal, Yashbir Deewan, Syed Tariq Reza, Md. Mozaffer Hossain, Christos Papadas, Vasiliki Chantziara, Chrysanthi Sklavou, Yannick Hourmant, Nicolas Grillot, Romain Pirracchio, Abdelraouf Akkari, Mohamed Abdelaty, Ahmed Hashim, Yoann Launey, Élodie Masseret, Sigismond Lasocki, Soizic Gergaud, Nicolas Mouclier, Sulekha Saxena, Avinash Agrawal, Shakti Bedanta Mishra, Samir Samal, Julio Mijangos, Mattias Haënggi, Mohan Gurjar, Marcus J. Schultz, Callum Kaye, Daniela Agustin Godoy, Pablo Alvarez, Aikaterini Ioakeimidou, Yoshitoyo Ueno, Rafael Badenes, Abdurrahmaan Ali Suei Elbuzidi, Michaël Piagnerelli, Muhammed Elhadi, Jean Digitale, Nicholas Fong, Ricardo Campos Cerda, Norma de la Torre Peredo
Bibliographic record
VenueCritical Care · 2023
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsUniversity of Toronto
FundersNational Institute on AgingNational Institutes of HealthNational Institute of Mental HealthUniversity of Toronto
KeywordsMedicineIntensive care unitOutcome (game theory)Intensive care medicineEmergency medicineClinical trialInternal medicine
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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)0.000
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.623
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.067
GPT teacher head0.389
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
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
Citations25
Published2023
Admission routes2
Has abstractyes