Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
An Integrated Approach to Managing Vessel Service in Seaports Efficient vessel service is of utmost importance in the maritime supply chain. When serving a group of incoming vessels, berth allocation and pilotage planning are the two most important decisions made by a seaport. Although they are closely correlated, the berth allocation problem and pilotage planning problem are often solved sequentially, leading to suboptimal or even infeasible solutions for vessel services. In “Vessel Service Planning in Seaports,” Wu, Adulyasak, Cordeau, and Wang focus on a vessel service planning problem that optimizes berth allocation and pilotage planning in combination. To solve the joint problem, the authors develop an exact solution method that combines Benders decomposition and column generation within an efficient branch-and-bound framework. They also propose acceleration strategies that significantly improve the performance of the algorithm. Test instances from one of the world's largest seaports are used to validate the effectiveness of the approach and demonstrate the value of integrated planning.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it