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Record W7098551600

The Land Between

2007· article· en· W7098551600 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and Biological Activities
Canadian institutionsnot available
Fundersnot available
KeywordsWaterfowlHabitatNexus (standard)WetlandBeaverLand useWildlife
DOInot available

Abstract

fetched live from OpenAlex

Researchers have been trying to find the significant importance to protect the natural habitats within the Land Between (TLB) region. The TLB project consists of several researchers with multiple disciplines including geology, ecology, human geography, and history. They have been researching to understand the TLB region with the full of detail information. The Fleming College GIS cooperative project was involved in the TLB project by assisting the biologists. Our mission was to identify the existing and potential waterfowl habitats within the TLB region and to make a connection with the waterfowl activity information to those identified waterfowl habitats and to provide a spatial database as a tool to help accomplish research. The original datasets, both air photos and spreadsheets, were obtained from the Ducks Unlimited Canada office in Barrie. The selected study areas were Anglesea, Anson, Grimsthorpe, Havelock, Hindon, Longford, Mud Turtle Lake, Patterson, and Sherborne. Each of those names corresponds to the Beaver Pond Management program (BPM). The BPM was a program at Ducks Unlimited Canada to monitor the waterfowl activities in the central Ontario. One or more waterfowl nest box was set up in every pond across Ontario in order to protect existing the waterfowl habitats and to restore the wetland ecosystem across

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 score0.558
Threshold uncertainty score0.164

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 head0.029
GPT teacher head0.229
Teacher spread0.200 · 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
Published2007
Admission routes1
Has abstractyes

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