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Record W7098724740

Alberta Environment and Sustainable Resource Development

2013· article· en· W7098724740 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicPhytochemistry and Bioactive Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsSeral communityNational parkKarstWetlandResource (disambiguation)Sustainable developmentTourismRecreation
DOInot available

Abstract

fetched live from OpenAlex

The Lower Peace Region is one of the seven land-use regions defined in Alberta’s Land-use Framework. It spans the north-west portion of Alberta, running easterly from the Alberta-British Columbia border to the eastern edge of Wood Buffalo National Park. The Region contains significant development of the forest and energy sectors. Eight of the 20 Forest Management Agreement Areas in the province are either entirely or partially located in the Region. Conventional well sites and pipelines are abundant. Agriculture is present in the south central portion of the Region along the Peace River. Wood Buffalo National Park makes up 19 % of the area of the Region and provides significant landscapes of undisturbed forest. In addition, the Park provides unique karst topographies and additional recreation and tourism opportunities. In total, parks and protected areas cover 22 % of the Region. The topography of the Region is fairly uniform. The only significant elevation features are the Clear Hills and Caribou Mountains. The Region’s climate and soil have resulted in the development of both coniferous and deciduous forests throughout the Region. There is a large component of wetlands in the Region, occurring mostly in Wood Buffalo National Park. Forests are mostly in the immature to mature stage of seral stage development and this is confirmed by

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.975
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.002

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 head0.007
GPT teacher head0.186
Teacher spread0.179 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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