Inhibition of Return in Three-Dimensional Space Can be Modulated by Depth and Object Membership
Bibliographic record
Abstract
A cued target detection experiment measured inhibition of return (IOR) in a computer-simulated three-dimensional (3D) setting. Cues and targets appeared in the same or different depth planes and same or different sides. When the cue and target appeared at different depths, they were made to appear within the same object or between different objects. When the cue appeared in a farther location than that of the subsequent nearer target, IOR was smaller compared to the scenario where the cue and target appeared in the same depth plane. This depth-specific effect was only observed when the cue and target appeared in different objects separated along the depth axis, but not when the cue and target appeared within a single object stretched along the depth axis. The analogous depth- and object-based effect was not observed for a near-cue to far-target depth switch. These results suggest that IOR can be depth-specific when making a far-to-near depth switch, a finding made absent when cues and targets appear within a single object.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".