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Record W2791729003

The investigation and evaluation of riparian management practices within the Manitoba landscape: off-stream watering systems

2013· article· en· W2791729003 on OpenAlexaboutno aff
Ashley Rawluk

Bibliographic record

VenueMspace (University of Manitoba) · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil erosion and sediment transport
Canadian institutionsnot available
Fundersnot available
KeywordsRiparian zoneEnvironmental resource managementHydrology (agriculture)GeographyEnvironmental planningWater resource managementEnvironmental scienceEcologyEngineeringHabitat
DOInot available

Abstract

fetched live from OpenAlex

This study was conducted to determine the impact of off-stream waterers (OSW) and barriers on animal productivity, behaviour, and riparian health, while comparing data collected with visual observations and GPS collars. Treatment had no significant effect (P > 0.05) on cow and calf weights averaged over the grazing season, with the exception of calf weights at one site (P < 0.0001). Although cattle utilized the OSW, they continued to drink from the stream. Further, the barriers did not discourage watering at the stream. Riparian health assessments did not indicate greater improvement with OSW or barriers. Cattle location, obtained via visual observations and GPS collars, differed with respect to the number of observations at the trough or in the riparian polygon. Long term studies are required to assess the impact of pasture size and site topography on OSW usage and riparian health, as many of the criteria take over two years to regenerate.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
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)0.0000.000

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 head0.037
GPT teacher head0.202
Teacher spread0.164 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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