Graphics Interface 2007 : Montréal, Canada, May 28-30, 2007 : proceedings
Bibliographic record
Abstract
Welcome to Graphics Interface 2007. This annual conference, now in its 33rd year, is devoted to computer graphics, interactive systems, and human-computer interaction. Beginning in 1969 as the Canadian Man-Computer Communications Seminar (CMCCS), it is the oldest regularly-scheduled computer graphics and human-computer interaction conference. This year, Graphics Interface was held May 27-29, 2007 in Montreal, Quebec. Topics of interest at GI include (but are not restricted to): * Shading and rendering * Geometric modeling and meshing * Graphics in simulation * Image-based rendering * Image synthesis and realism * Medical and scientific visualization * Computer animation * Real-time rendering * Non-photorealistic rendering * Scientific and information visualization * Interaction techniques * Computer-supported cooperative work * Human interface devices * Virtual reality * Augmented reality * Data and information visualization * Multimedia * Mobile computing * Haptic and tangible interfaces * Perception
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.298 | 0.157 |
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".