MétaCan
Menu
← Back to cohort
Record W7100233250

The Marmot and Streeter Exper~ental Basin Programs

2016· article· en· W7100233250 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
Fundersnot available
KeywordsMarmotWatershedHydrology (agriculture)Watershed managementStructural basinDrainage basinWater supplyStreamflowWater balance
DOInot available

Abstract

fetched live from OpenAlex

tutod in 1917 in rocognition Of ttlO opociul ~tatu3 ttlut tho cd~torn olopo~ watershed had with respect to water supply in the Saskatchewan River. One of the ERFCB's principal functions was..... the conservation, development, ~intenance and management of the forests in such area (the eastern slopes watershed] with a view to obtaining the greatest possible flow of water in the Saskatchewan River and its tributaries, " Upon its request, the Alberta Watershed Research Program (AWRP) was initiated during the period 1960-1963 with the eatablishment of e~perimental water.heds at Marmot Creek and Streoter Creek to examine the effects of foreat cutting on streamflow and groundwater. The results are now available, and models that can be used to predict the impact of forest cutting on water yield throughout the eastern slopes are available to forest and water management agencies. In spite of this ostentatious beginning and wealth of technology tranafer tools, the impact of the Marmot and Streeter projects on water ~nagement in Alberta and upon forest management within the eastern slopes

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.698
Threshold uncertainty score0.608

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.196
Teacher spread0.189 · 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.

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
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicHydrology and Sediment Transport Processes→French-language works237,207→