MétaCan
Menu
Back to cohort

Preface

2021· article· en· W4200150342 on OpenAlexaboutno aff

Bibliographic record

VenueIOP Conference Series Materials Science and Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicFault Detection and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPresentation (obstetrics)Session (web analytics)EnthusiasmGratitudeLibrary scienceEngineeringPleasurePolitical scienceOperations researchMedical educationPublic relationsPsychologyComputer scienceMedicineWorld Wide Web

Abstract

fetched live from OpenAlex

NOTITLE. THE MESSAGE FROM THE GENERAL CHAIRS It is our great pleasure to welcome all of you to the PHM 2021 Zhengzhou International Conference. In the past few years, this annual conference represented one of the largest gatherings of researchers and professionals to discuss most recent advancements in prognostics and system health management. This year, however, the ongoing COVID-19 pandemic and the resulting travel restrictions in many regions impose unprecedented challenges to the organization of the conference. Instead of meetings fully in person, the Conference Organization Committee has decided to shift the conference to a hybrid mode, with which some authors attended this conference in person while others participated in this conference virtually via a shared Zoom link. We hope this shift in conference mode will not affect your enthusiasm in participating in the conference and discussions. We are pleased to invite two well-known experts in the field to deliver keynote speeches at this conference: Professor Wilson Wang, Professor and University Research Chair in Intelligent Diagnostics and Prognostics of Engineering Systems, Lakehead University, Canada, and his talk is on “Fault diagnosis in gearboxes”; Dr. Yiqiang Chen, Deputy Chief Engineer of National Key Laboratory, China Electronic Product Reliability and Environmental Testing Research Institute, China, and his talk is about “Prognostic and health management technology for electric system based on PoF and data-driven method”. The conference program is also offering three paper oral presentation sessions and one poster session, arranged in the late morning and entire afternoon on October 23. This conference could not be organized without the earnest efforts from all our organization committee members. The conference is also indebted to dozens of volunteers who contributed to the various processes of the conference. It has been a great privilege for both of us to serve as the General Chairs of PHM 2021 Zhengzhou and it is our hope that you find the conference fulfilling and enjoyable. We thank you for your support and wish you a pleasant experience at PHM 2021 Zhengzhou. Sincerely, Rongjie Huang Wenliao Du General Chairs, PHM2021 Zhengzhou International Conference Professors, Zhengzhou University of Light Industry List of KEYNOTE SPEAKERS, CONFERENCE ORGANIZATION COMMITTEE, LIST OF EDITORS are available in this pdf.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.196
Teacher spread0.186 · 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 designBench or experimental
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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueIOP Conference Series Materials Science and EngineeringSame topicFault Detection and Control SystemsFrench-language works237,207