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Record W3041891681 · doi:10.22621/cfn.v134i1.2483

First record of an Italian Wall Lizard (<i>Podarcis siculus</i>) in British Columbia, Canada

2020· article· en· W3041891681 on OpenAlexaffvenueabout
Gavin F. Hanke, Guntram Deichsel

Bibliographic record

VenueThe Canadian Field-Naturalist · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsRoyal British Columbia Museum
FundersCalifornia Department of Fish and WildlifeWashington Department of Fish and WildlifeUniversity of Washington
KeywordsLizardArchaeologyPopulationColumbia universityGeographyAncient historyBiologyZoologyDemographyHistoryMedia studies

Abstract

fetched live from OpenAlex

Italian Wall Lizard (Podarcis siculus) is known from scattered locations in the United States, including Orcas Island, Washington, where a population went unreported for about a decade, but was confirmed in 2017. On 19 June 2019, a single adult female P. siculus was caught in an industrial area along the northern arm of the Fraser River in Vancouver, British Columbia; this represents the first record of this species on the loose in Canada. No other P. siculus were sighted in the Vancouver area. We assume this Canadian P. siculus was a lone stow-away and had not deposited eggs. We could not determine how it entered the province.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.186
Teacher spread0.177 · 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 designCase report
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
Published2020
Admission routes3
Has abstractyes

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