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Record W7017009689

Activity of Little Brown Bats in Coastal Forests

2009· article· en· W7017009689 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch Exchange (Washington State University) · 2009
Typearticle
Languageen
FieldEngineering
TopicAutonomous Vehicle Technology and Safety
Canadian institutionsPacific Institute for the Mathematical Sciences
Fundersnot available
KeywordsHabitatTemperate rainforestForest managementTemperate climateNatural (archaeology)Natural forest
DOInot available

Abstract

fetched live from OpenAlex

Acriviry of liule brosn bats ras over 75 rimes grcater in lacustrine (lake) hahirat than in iorest of curorfr.['ee bats $ere derecred in forest and alnosr no bars in culover.tsars sere presenl all nighr $ith three peaks ofactirilv in lacuslrine habilal.B11 nclivill was nol correlated with insect densitr.lntroduction Of the 12 species of bats known from coastal British Columbia, the little brown bat (Myotis lucifugus\ is the most cornmon and widely distributed.It roosts in trees with cavities or loose bark bul readily uses buildings.Roosts provide shelter and protection, and are essential elements in the natural history of temperate bats.Much of the old growth forest containing suitable roosting habitat has been rnodified by intensive forestry practices.0ur objectives were to describe the activity patterns and habitat use of little brown bats in coastal forests.This information would identify habitats important to bats and assist in the development of management plans. Study Area and MethodsField work was conducted at the University of British Columbia Research Forest near Maple Ridge,

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.269
Teacher spread0.236 · 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