The Submillimeter Properties of Extremely Red Objects in the Canada‐UK Deep Submillimeter Survey Fields
Bibliographic record
Abstract
We discuss the submillimeter properties of extremely red objects (EROs) in the two Canada-UK Deep Submillimeter Survey (CUDSS) fields. We measure the mean submillimeter flux of the ERO population (to K ' < 20.7) and find 0.40 ± 0.07 mJy for EROs selected by ( I-K ) > 4.0 and 0.56 ± 0.09 mJy for EROs selected by ( R-K ) > 5.3, but these measurements are dominated by discrete, bright submillimeter sources. We estimate that EROs produce 7%-11% of the far-infrared background at 850 μm. This is substantially less than a previous measurement by Wehner, Barger, & Kneib, and we discuss possible reasons for this discrepancy. We show that ERO counterparts to bright submillimeter sources lie within the starburst region of the near-infrared color-color plot of Pozzetti & Mannucci. Finally, we claim that pairs or small groups of EROs with separations of ≲10'' often mark regions of strong submillimeter flux.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".