A SCUBA Map in the Spitzer First Look Survey: Source Catalog and Number Counts
Bibliographic record
Abstract
Using the SCUBA instrument on the JCMT, we have made a submillimeter mosaic at 850um of a subarea of the Spitzer First Look Survey (FLS). Our image covers the central 151 square arcmin of the northern extragalactic Continuous Viewing Zone (CVZ) field of the FLS to a median 3sigma depth of 9.7 mJy. The image contains ten 850um sources detected at 3.5sigma or higher significance, of which five are detected at greater than or equal 4sigma. We make the catalog of these SCUBA-selected FLS sources available to the community. After correcting for incompleteness and flux bias, we find that the density of sources brighter that 10mJy in our field is (1.3 +1.1 -0.7)x10^2 deg^-2 (95% Poisson confidence limits), which is consistent with other surveys that probe the bright end of the submillimeter population.
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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 | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.013 |
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".