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Record W7036187216

Atlas of the Salish Sea

2020· article· en· W7036187216 on OpenAlexaboutno aff

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSpider Taxonomy and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBioregionGeoinformaticsNatural (archaeology)Geospatial analysisSeascapeThematic mapMarine spatial planning
DOInot available

Abstract

fetched live from OpenAlex

The Salish Sea Atlas is an open access digital book containing maps, illustrations, interpretive text, and downloadable geospatial datasets addressing cultural and environmental themes across the Salish Sea Bioregion. The Salish Sea is an international estuarine ecosystem encompassing an intricate network of inland marine waterways in Washington and British Columbia. The Salish Sea Bioregion includes both the marine waters and their upland watersheds. This bioregion is home to over nine million people living in and around the Cascadia megalopolis centered on Vancouver and Seattle. Although divided by an international border, the Salish Sea Bioregion can in many ways be considered a cohesive geographic region based on its natural and cultural characteristics and history. The concept of the Salish Sea as a region has become a critical focal point for local bioregional education, research, restoration, conservation, and policy development. The scarcity of accurate, cohesive, and easily available spatial data and thematic maps covering the entire bioregion is a critical impediment to these efforts. The Salish Sea Atlas aims to address this need.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

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

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 head0.026
GPT teacher head0.220
Teacher spread0.194 · 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
Published2020
Admission routes1
Has abstractyes

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