Bibliographic record
Abstract
GeoShanghai is a series of international conferences on geotechnical engineering held in Shanghai quadrennially. The conference was inaugurated in 2006 and was successfully held in 2010, 2014 and 2018, with more than 1600 participants in total. Since the last conference, the geotechnical community has witnessed many advances both in fundamental understanding and engineering practices. To demonstrate the latest developments and promote collaborations in geotechnical engineering and related fields, we launch the 5th GeoShanghai International Conference to be held in May 2024. The intricate macroscopic behaviors of soil, along with the fundamental principles of geomechanics, are cornerstone elements in the field of geotechnical engineering. As we stand on the threshold of a new era marked by unprecedented advancements, it is imperative that we incorporate the most recent and pioneering insights into soil behavior and geomechanics into our discourse. This volume of the Geoshanghai proceedings is dedicated to achieving just that. Encompassing a broad spectrum of critical topics within soil behavior and geomechanics, this volume thoughtfully curates content including soil macroscopic behaviors, geomechanics from micro to macro, granular materials and unsaturated mechanics. As we convene for this international conference, let us delve into these pages with the aim of fostering a deeper understanding and sparking innovative solutions in the ever-evolving landscape of geotechnical engineering. This volume received a total of 74 papers from countries such as China, United States, Canada, Australia, Japan, Korea South, India, Botswana, and others, totaling 70 papers accepted. All papers were reviewed and the accepted papers will be submitted to IOP Conference Series: Earth and Environmental Science indexed by Scopus. Cordially yours, Matt Evans, Xiaoqiang Gu, Jidong Teng, Xiaoyu Song, Qiushi Chen, Annan Zhou, Weiwei Zhan The editors of Volume 1: Soil Behavior and Geomechanics List of Conference Steering Committee, International Advisory Committee, Technical Committee, Organizing Committee are available in this pdf.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.497 | 0.371 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".