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Record W2234574702

An overview of the Salish Sea Marine Survival Project: U.S.-Canada integration

2014· article· en· W2234574702 on OpenAlexaboutno aff
Michael W. Schmidt, Brian Riddell

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyOceanographyGeology
DOInot available

Abstract

fetched live from OpenAlex

The Salish Sea Marine Survival Project (Project) is a multi-year transboundary effort to determine the primary factors affecting juvenile salmon and steelhead survival in the Salish Sea. The Project, coordinated by nonprofits Long Live the Kings (U.S.) and the Pacific Salmon Foundation (Canada), brings together multidisciplinary expertise from over 20 Federal and State agencies, Tribes, academia and nonprofit organizations on both sides of the U.S.-Canada border. Through the development of a comprehensive, ecosystem-based research framework; coordinated data collection and standardization; and improved information sharing, the Project will help managers better understand the critical relationship between salmon and the Salish Sea. This transboundary initiative began in 2012 and will last seven years. Foundational reports include the Pacific Salmon Foundation’s Strait of Georgia Chinook and Coho Proposal (2009) and subsequently the Hypotheses and Preliminary Research Recommendations for Puget Sound (2012). In November 2012, a workshop with 90 participants was held to receive feedback from the broader scientific community regarding the critical elements of a US-Canada research program. The foundational and workshop summary reports are available at the Project web site (www.marinesurvivalproject.org). Science teams are now using this information to develop and implement the necessary research. We will present an overview of the Salish Sea Marine Survival Project, describing its history, leading hypotheses for poor survival, current status in research development and implementation, and how this work will contribute to Salish Sea sustainable resource management and recovery efforts. We will highlight the multi-disciplinary, collaborative nature of this project and the role of non-governmental organizations in aiding this large-scale initiative.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.251
Teacher spread0.218 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

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