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Record W4226146317 · doi:10.1016/s0140-6736(22)00560-8

Aggressive intraoperative warming versus routine thermal management during non-cardiac surgery (PROTECT): a multicentre, parallel group, superiority trial

2022· article· en· W4226146317 on OpenAlexaff
Daniel I. Sessler, Lijian Pei, Kai Li, Shusen Cui, Matthew T.V. Chan, Yuguang Huang, Jingxiang Wu, Xuemei He, Gausan Ratna Bajracharya, Eva Rivas, Carmen K. M. Lam, Yao-Zhong Zhang, Hai Sun, Zhouting Hu, Wangyu Li, Yangdong Han, Wei Han, Pengcheng Zhao, Hong Ye, Peng Chen, Zhihua Zhu, Weisong Dai, Jin Lei, Wenchao Bian, Yan Liu, Beaker Fung, Eva Lee, Ka Yan Hui, Gordon Choi, Wai Tat Wong, Yi Xiao, Weiming Kang, Ling Lan, Chen Sun, Yuwei Qiu, Wei Tang, Yunyun Zhang, Qi Huang, Xiaofei Lu, Tingting Li, Qimeng Yu, Jie Yu, Rurong Wang, Hong Chang, Yunxia Zuo, Zhirong Sun, Wenting Hou, Congxia Pan, Xi Liu, Xue Zhang, Sheng Wang, Yin Kang, Zhengliang Ma, Xiaoping Gu, Changhong Miao, Mauro Bravo, Andrea Kurz, Alparslan Turan, Kurt Ruetzler, Kamal Maheshwari, Guangmei Mao, Yanyan Han, Ece Yamak Altınpulluk, Federico Almonacid‐Cardenas, Steve Leung, Cecelia Hanline, David Chelnick, Marianne Tanios, Michael Walters, Michael J. Rosen, Stephanie Ezoke, Edward J. Mascha, Benny C. P. Cheng, Renee P L Yip, P.J. Devereaux

Bibliographic record

VenueThe Lancet · 2022
Typearticle
Languageen
FieldMedicine
TopicThermal Regulation in Medicine
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicinePerioperativePopulationCardiac surgeryRandomized controlled trialSurgeryAnesthesiaHypothermia

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.032
GPT teacher head0.288
Teacher spread0.256 · 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 designRandomized trial
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

Citations117
Published2022
Admission routes1
Has abstractno

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