MétaCan
Menu
Back to cohort
Record W2501161498 · doi:10.5962/bhl.title.113813

Alberta amphibian call surveys : a pilot year : final report /

2002· book· en· W2501161498 on OpenAlexfundaboutno aff
Danielle Lisa Takats, Chuck. Priestley

Bibliographic record

Venuenot available
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsnot available
FundersAlberta Conservation Association
KeywordsAmphibianGeographyEcologyBiology

Abstract

fetched live from OpenAlex

Call surveys using the North American Amphibian Monitoring Program (NAAMP) protocol were conducted in the summer of 2001 .The goal was to determine whether the NAAMP protocol was a useful technique in monitoring amphibian populations in Alberta, and if so, to initiate a volunteer-based survey.Forty-one transects and 22 point counts were established and surveyed throughout Alberta.Amphibians were heard at 55% of the point count stations and on 187 stations (37.6%) along the transects (n=497 stations).Species recorded included: western toad, Canadian toad, Great Plains toad, plains spadefoot, boreal chorus frog, wood frog, Columbia spotted frog, and northern leopard frog.More amphibians were recorded in forested areas than in prairie regions.Environmental conditions (wind speed, temperature, time of night) had an effect on detection rate (number of active stations/total number of stations surveyed).Ground truthing (46 ponds along 1 8 transects) revealed that call surveys are a good technique for determining presence of species that are more common.Rare species were not effectively monitored, however more work should be conducted during years when rain events are more common, to collect more information on the effectiveness of the survey protocol.Call surveys will be conducted in 2002 through Bird Studies Canada Marsh Monitoring Program.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.030
Threshold uncertainty score1.000

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)0.0020.001

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 head0.066
GPT teacher head0.287
Teacher spread0.221 · 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.

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

Citations1
Published2002
Admission routes2
Has abstractyes

Explore more

Same topicAnimal Vocal Communication and BehaviorFrench-language works237,207