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Preface

2019· article· en· W4232546870 on OpenAlexaboutno aff

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
Fundersnot available
KeywordsChinaBeijingLibrary scienceEngineeringVocational educationSustainable developmentPolitical scienceManagementGeographyComputer scienceArchaeology

Abstract

fetched live from OpenAlex

It is our great pleasure to welcome all of you to 2019 International Conference on Environment and Ocean Engineering (ICEOE 2019) which was held on June 7-9, 2019 in Xiamen Ocean Vocational College, Xiamen, China. ICEOE 2019 is dedicated to issues related to Environment and Ocean Engineering. ICEOE 2019 is organized by Xiamen Ocean Vocational College and Xiamen University of Technology, assisted by International Society for Environmental Information Sciences (ISEIS), Hong Kong Chemical, Biological & Environmental Engineering Society (HKCBEES), Environment and Agriculture Society (EAS), Fujian Smart City Association. ICEOE 2019 is highlighted by several professional speakers. Prof. Caterina Valeo from University of Victoria, Canada; Prof. Yongping Li from Xiamen University Of Technology, China; Prof. Lixiao Zhang form School of Environment, Beijing Normal University, China; Prof. Guangwei Huang from Sophia University, Tokyo, Japan; Prof. R. J. (Dick) Haynes from The University of Queensland, St Lucia, Queensland, Australia; Prof. Gordon Huang from University of Regina, Canada had attended the conference as keynote speakers. There were five sub-sessions with different topics: Modeling of Environmental Systems, Environmental Pollution Control, Environmental Management and Planning, Workshop on Environment, Water and Energy, Forum on South-South Sustainable Development. It was a golden opportunity for students, researchers and engineers to interact with the experts and specialists to get their advice or consultation on technical matters, dissemination and marketing strategies. This proceeding presents a selection from papers submitted to the conference from universities, research institutes and industries. It has five chapters with topic: Coastal Engineering, Deep Sea Engineering, Ship Engineering, Utilization of Marine Resources, Water Pollution Control. All papers were subjected to peer-review by conference committee members and international reviewers. The papers were selected based on high quality and relevancy to the conference scope. We would also express our sincere gratitude to organizing committee and the volunteers who had dedicated their time and efforts in planning, promoting, organizing and helping the conference. Changping Chen Xiamen Ocean Vocational College, China 2019-09-20

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.004
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.002

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 head0.007
GPT teacher head0.175
Teacher spread0.168 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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