Experimental Evaluation of Deformation of Transport Infrastructures using Image-based Methods
Bibliographic record
Abstract
Video Article Open Access Experimental Evaluation of Deformation of Transport Infrastructures using Image-based Methods Vahid Abolhasannejad1,*, Said Easa1, Shuai Dong2, Xiaoming Hunag3, Panjie Li4 1Department of Civil Engineering, Ryerson University, Toronto, ON, M5B 2K3 Canada 2School of Civil Engineering, Changsha University of Science and Technology, Changsha 410114, China 3School of Transportation, Southeast University, Nanjing 211189, China 4School of Civil Engineering, Zhengzhou University, Zhengzhou, 450001, China Vid. Proc. Adv. Mater., Volume 2, Article ID 2021-0148 (2021) DOI: 10.5185/vpoam.2021.0148 Publication Date (Web): 20 Jan 2021 Copyright © IAAM Abstract 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".