Item 9- Executive Director’s Report DIVISION OF WATER QUALITY
Bibliographic record
Abstract
Department of the Interior announced the first group of sites to join the new national system of marine protected areas. All 34 California ASBS are included in this first group to join. This is a major milestone for marine conservation, and we are very pleased that ASBS are a part of this important effort. Benefits include increased public recognition, understanding, and education by helping to elevate the profile of these marine areas. ASBS General Exception: Staff is preparing the initial study and draft mitigated negative declaration that will support a general exception to the ocean plan for discharges of storm water and nonpoint source discharges to ASBS. Staff is working toward release of the documents in May 2009 and plans a public hearing in July 2009. ASBS Scientific Panel: A new ASBS scientific panel was convened on April 14, 2009. This panel of experts on rocky intertidal areas are charged with the design of a biological monitoring program to assess the effects of discharges into ASBS. Joining the panel is Dr. Shannon Bard of Dalhousie University. Dr. Bard is an environmental toxicologist specializing in the effect of pollution on the rocky intertidal environment and is one of the first researchers to have developed a bioindex in the Pacific Northwest.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.149 | 0.110 |
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".