The Association of Canadian Universities for Research in Astronomy TMT Observatory Corporation
Bibliographic record
Abstract
The TMT Board has established an External Advisory Panel (EAP) to periodically review the progress of the TMT Design and Development Program (DDP). In June 2007, the TMT Board requested the EAP to assess the proposal to construct TMT together with the plans to achieve construction readiness and to conduct early operations of the TMT Observatory. The EAP was charged to review the science cases, science requirements, and observatory requirements. They were asked to review recent observatory design changes, and to evaluate the proposed design against the requirements, and to assess readiness for construction. They were also asked to comment on the site testing and site selection process. The panel was asked to comment on the state of operations planning and the operational model for the observatory, as well as to evaluate the plan for TMT as an upgradeable observatory. The EAP was asked to assess the state of the project management, organization, estimated construction costs and the strategy for phasing the entire TMT program from design and development, construction, through commissioning and early operations. The TMT project prepared The Thirty Meter Telescope Construction Proposal for this
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.199 | 0.067 |
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".