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Record W7097461987

Item 9- Executive Director’s Report DIVISION OF WATER QUALITY

2009· article· en· W7097461987 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsnot available
Fundersnot available
KeywordsClean Water ActPlan (archaeology)Government (linguistics)MilestoneQuality (philosophy)DeclarationWater qualityEnvironmental quality
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.020
GPT teacher head0.274
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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