Virtual Reality Psychophysical Tests to Investigate Human Temporal and Spatial Processing Ability
Bibliographic record
Abstract
Frontiers Abstracts Virtual Reality Psychophysical Tests to Investigate Human Temporal and Spatial Processing Ability Ahmad Byagowi, Ahmad Byagowi Search for other works by this author on: This Site PubMed Google Scholar Mari T. Garcia Campuzano, Mari T. Garcia Campuzano Search for other works by this author on: This Site PubMed Google Scholar Cameron MacGregor, Cameron MacGregor Search for other works by this author on: This Site PubMed Google Scholar Zahra Moussavi Zahra Moussavi Department of Electrical and Computer EngineeringUniversity of Manitoba Search for other works by this author on: This Site PubMed Google Scholar Author and Article Information Zahra Moussavi Department of Electrical and Computer EngineeringUniversity of Manitoba J. Med. Devices. Mar 2012, 6(1): 017519 (1 pages) https://doi.org/10.1115/1.4026697 Published Online: March 12, 2012 Article history Received: May 27, 2011 Revision Received: November 7, 2011
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".