PLANWELL
Bibliographic record
Abstract
We present our prototype of PlanWell, a spatial augmented reality interface that facilitates collaborative field operations. PlanWell allows a central overseer (in a command and control center) and a remote explorer (an outdoor user in the field) to explore and collaborate within a geographical area. PlanWell provides the overseer with a tangible user interface (TUI) based on a 3D printout of surface geography which acts as a physical representation of the region to be explored. Augmented reality is used to dynamically overlay properties of the region as well as the presence of the remote explorer and their actions on to the 3D representation of the terrain. The overseer is able to perform the actions directly on the TUI and then the overseer's actions are presented as dynamic AR visualizations superimposed on the explorer's view in the field. Although our interface could applied to many domains, the PlanWell prototype was developed to facilitate petroleum engineering tasks such as well planning and coordination of drilling operations. Our paper describes the details of the design and implementation of the current PlanWell prototype in the context of petroleum well planning and drilling, and discusses some of the preliminary reflections of two focus group sessions with domain experts.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.180 | 0.040 |
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".