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Record W2922414630 · doi:10.3791/58990

Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus

2019· article· en· W2922414630 on OpenAlexaff
Jing Liu, Roberto Copetti, Erich Sorantin, Jovan Lovrenski, Javier Rodríguez‐Fanjul, Dalibor Kurepa, Xing Feng, Luigi Cattaross, Huayan Zhang, Misun Hwang, Tsu F. Yeh, Yisrael Lipener, Abhay Lodha, Jia-Qin Wang, Hai-Ying Cao, Cai-Bao Hu, Guo-Rong Lyu, Xinru Qiu, Li-Qun Jia, Xiao-Man Wang, Xiao-Ling Ren, Jiu-Ye Guo, Yue-Qiao Gao, Jian‐Jun Li, Ying Liu, Wei Fu, Yan Wang, Zu-Lin Lu, Hua-Wei Wang, Li-Li Shang

Bibliographic record

VenueJournal of Visualized Experiments · 2019
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsUniversity of Calgary
FundersWu Jieping Medical FoundationChinese Medical Association
KeywordsMedicineGuidelineUltrasoundMedical physicsLung ultrasoundLungIntensive care medicineProtocol (science)Modality (human–computer interaction)Diagnostic ultrasoundRadiologyPathologyAlternative medicineComputer scienceInternal medicine

Abstract

fetched live from OpenAlex

Ultrasound is a safe bedside imaging tool that obviates the use of ionizing radiation diagnostic procedures. Due to its convenience, the lung ultrasound has received increasing attention from neonatal physicians. Nevertheless, clear reference standards and guideline limits are needed for accurate application of this diagnostic modality. This document aims to summarize expert opinions and to provide precise guidance to help facilitate the use of the lung ultrasound in the diagnosis of neonatal lung diseases.

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 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)0.052
metaresearch head score (Gemma)0.075
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.052
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0520.075
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0060.003
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0050.003
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0380.020

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 head0.518
Teacher spread0.451 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations152
Published2019
Admission routes1
Has abstractyes

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