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Record W3110559070 · doi:10.14419/jes.v2i1.31213

A review of distribution, threats and conservation of freshwater turtles of Ontario, Canada

2020· article· en· W3110559070 on OpenAlexaboutno aff
Amtyaz Safi, Muhammad Usman Ali Hashmi, John Peter Smith

Bibliographic record

VenueSPC Journal of Environmental Sciences · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsIUCN Red ListEndangered speciesWildlifeThreatened speciesCITESTurtle (robot)GeographyFisheryConservation statusPopulationWildlife conservationCritically endangeredNear-threatened speciesEcologyEnvironmental protectionBiologyHabitat

Abstract

fetched live from OpenAlex

There are four families and eight species of freshwater turtles found in Canada, and the same families and species have also been recorded in Ontario province, all species are listed in CITES Appendices, in which six are declared as threatened species. Three families are hard shelled turtles viz Family Emydidae, Family Kinosternidae, and Family Chelydridae while Family Trionichidae is the only soft shelled turtle. Legally, all freshwater turtles in Ontario have been protected. Many efforts have been made by the Government, Non-governmental organizations and Academia for the protection and conservation of turtle population in Ontario. IUCN, WWF Canada, Ontario Wildlife Department, and Committee on the Status of Endangered Wildlife in Canada (COSEWIC), Canadian Wildlife federation, Wildlife preservation Canada, Ontario turtle conservation center (OTCC) and some other organizations are contributing in efforts for the conservation of freshwater turtles in Ontario. But still, freshwater turtles are facing serious threats due to climatic changes and some anthropogenic activities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.113
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.013
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.014
GPT teacher head0.205
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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