SCUBA-2: The Submillimeter Mapping Machine
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Submillimeter astronomy was brought out of the dark ages and revolutionized by a single instrument: SCUBA. The range of discoveries, from the SCUBA galaxies through the evolutionary sequence of the star formation process to debris disks surrounding nearby stars, has meant that SCUBA is arguably the most successful ground-based instrument ever built. After eight years of pioneering work on the James Clerk Maxwell Telescope on Mauna Kea, SCUBA was decommissioned in September 2005 to make way for its successor, SCUBA-2. Like SCUBA, SCUBA-2 is a dual-waveband camera working at the two wavelengths of 850 and 450μm. As SCUBA brought a 1000-fold increase in mapping speed over a single pixel detector, SCUBA-2 will bring another factor of 1000 to bear in its mission of a submillimeter mapping machine, with over 10,000 pixels in both arrays. SCUBA-2 will reach the confusion limit at 850μm in about an hour, enabling confusion-limited surveys of large sections of the sky to be undertaken efficiently for the first time at these submillimeter wavelengths. SCUBA-2 is a high-risk, high-reward international venture, costing some $20 million; it is currently undergoing verification testing in the labs at the UK Astronomy Technology Centre, Edinburgh, and will be delivered to the JCMT in autumn of 2006. SCUBA-2 is a major technology project and involves key partners at NIST (Boulder, USA) and the Universities of British Columbia (Canada), Waterloo (Canada), Cardiff (Wales), and Edinburgh (Scotland).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it