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Record W2516089090 · doi:10.22230/jem.2016v16n1a587

Riparian Management of Perennial Coastal Streams with Potential Habitat for a Tailed Frog (Ascaphus truei)

2016· article· en· W2516089090 on OpenAlexaff
Lisa Nordin

Bibliographic record

VenueJournal of Ecosystems and Management · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife-Road Interactions and Conservation
Canadian institutionsMinistry of Forests
Fundersnot available
KeywordsRiparian zoneSTREAMSPerennial streamHabitatEnvironmental scienceHydrology (agriculture)BedrockRiparian bufferEcologyFisheryGeology

Abstract

fetched live from OpenAlex

Assessments were conducted at stream reaches associated with recent harvesting in the mid-coast of British Columbia to: 1) determine how riparian vegetation has been managed around coastal streams that do not typically require a riparian reserve, but contain potential habitat for tailed frogs, and 2) correlate harvest prescriptions with habitat quality. The results are intended to guide decisions related to harvesting around small fish-bearing, and all non-fish streams on the mid-coast of BC. We found that bedrock-dominated reaches exhibited less disturbance than erodible streams when subjected to riparian cutting but their confined channels may have facilitated the transfer of road debris downstream, creating blockages and dewatering. Tailed-frog tadpoles were observed where some riparian harvesting had occurred, but the channels were stable and stream flow undisturbed. Recommendations for best practices when planning to harvest around perennial coastal streams include the consideration of geologic site characteristics prior to making harvesting decisions.

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 score0.642
Threshold uncertainty score0.296

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 science0.0000.000
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 head0.006
GPT teacher head0.200
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
Published2016
Admission routes1
Has abstractyes

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