Interactive 3D Modeling and Visualization of Well Configurations and Trajectories in Reservoir Simulation Post-Processing
Bibliographic record
Abstract
Sowmya Somanath, Department of Computer Science, University of Calgary ssomanat@ucalgary.ca Nicole Sultanum, Department of Computer Science, University of Calgary nbsultan@ucalgary.ca Jonatas Medeiros, Department of Computer Science, University of Calgary jdacamar@ucalgary.ca Emilio Vital Brazil, Department of Computer Science, University of Calgary evbrazil@ucalgary.ca Sheelagh Carpendale, Department of Computer Science, University of Calgary sheelagh@ucalgary.ca Ehud Sharlin, Department of Computer Science, University of Calgary ehud@ucalgary.ca Carla Dal Sasso Freitas, Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS) carla@inf.ufrgs.br Eric Mackay, Institute of Petroleum Engineering, Heriot-Watt University Eric.Mackay@pet.hw.ac.uk Mario Costa Sousa, Department of Computer Science, University of Calgary smcosta@ucalgary.ca
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".