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Record W4408564178 · doi:10.1016/j.chstcc.2025.100153

Lessons From Gattinoni

2025· article· en· W4408564178 on OpenAlexaff
Andrea Castellví-Font, Tài Pham, Bhakti Patel, Eddy Fan

Bibliographic record

VenueCHEST Critical Care · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersNational Heart, Lung, and Blood InstituteNational Institutes of Health
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

Professor Luciano Gattinoni's contributions to critical care medicine transformed the management of ARDS and mechanical ventilation, shaping the foundation of modern intensive care. Among his landmark achievements, the so-called baby lung concept redefined ARDS as a condition characterized by reduced functional lung volume, rather than lung stiffness, leading to the development of lung-protective ventilation strategies that prioritize minimizing ventilator-induced lung injury. His work on positive end-expiratory pressure advanced the understanding of lung aeration, atelectasis, and recruitment, highlighting the role of CT imaging in respiratory research. His research on prone positioning elucidated its physiologic benefits and demonstrated its lifesaving potential for patients with severe ARDS, culminating in its widespread adoption. Additionally, his work on mechanical power provided a unifying framework for assessing ventilator-induced lung injury risk, although challenges in its bedside application remain. Through his relentless pursuit of integrating respiratory physiology into clinical practice, Professor Gattinoni inspired generations of clinicians and researchers, leaving an indelible legacy that continues to guide advancements in critical care worldwide.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.370
Teacher spread0.337 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

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