Design of systems with nonautomated electric vehicles
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
Chapter Contents: 8.1 Introduction 8.2 Categories of services 8.3 Design framework for shared electric vehicle system 8.3.1 Design variables 8.3.2 Multistation system 8.3.3 User access 8.3.4 User expectations 8.3.5 Vehicle fleet and relocation 8.3.6 Parking stalls and other infrastructure 8.3.7 Fast charger stalls 8.3.8 System operation, control, and maintenance 8.4 Methods to support system design 8.4.1 Treatment of stochastic factors 8.4.2 Simulation and optimization techniques 8.5 Employee-dedicated shared vehicle system case study 8.5.1 General description 8.5.2 Location and size 8.5.3 Demand and fleet 8.5.4 Service factors 8.5.5 Serving higher demand levels 8.6 Design for ride-hailing EVs 8.6.1 Pick-up and drop-off facilities 8.6.2 Charging facilities 8.7 Conclusions Acknowledgments Author contribution Declaration of conflicting interests References
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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