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BIOL 3250 Field study data

2020· dataset· en· W6958343083 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2020
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicLeaf Properties and Growth Measurement
Canadian institutionsnot available
Fundersnot available
KeywordsQuadratNational parkPopulationSampling (signal processing)WeedPopulation densityField (mathematics)

Abstract

fetched live from OpenAlex

Terms and definitionsRepetition: The amount of times the study is repeated at a novel park Quadrat: The 0.5m by 0.5m tool used and number of times placed per siteLocation: The sites of the studyDate: The specific time frame of recordingPlant species: The taxonomic classification of the plant identified with in the quadrat Classification: Native or Non-native categorization assigned based on whether the plant originated in North America or not according to scientific literature Number of individuals: The number of individuals accounted for of one specific species within a quadratPopulation density: The total number of a specific plant species within a specific quadrat divided by the area of the quadrat, 0.25m<sup>2</sup><br>Population density of native and non-native plant species in Toronto were taken at four different parks that were indicative of a typical Toronto park, these were Figrove Park and Topcliff Park measured on October 16<sup>th</sup> 2020 and Oakdale Park and Yorkwoods Park measured on October 17<sup>th</sup> 2020, with all data recorded in a field journal by hand. The forecasts were a temperature of about 10 ºC, mild winds and clear skies on October 16<sup>th</sup>, 2020, and a temperature of about 11 ºC, mild winds and partial clouds on October 17<sup>th</sup> 2020. First an outline of the parks was taken from google maps and divided into even boxes and assigned a number. A random number generator was used to determine 10 sites within each park that the quadrat would be placed. At the site, population density was measured by first identifying the species using the common weed species of Ontario field guide or the Newcomb’s field guide within a 0.5m by 0.5m quadrat for all 10 quadrats at each study site. Accounting for the individual species was conducted where if the species had more than 50% of its body within the quadrat, it was recorded but if it had less than 50% within the quadrat then it was excluded from recording. The population density was calculated by totalling the number of individuals within the specific quadrat it was found and dividing it by the area of the quadrat, 0.25m<sup>2</sup>. Classification of the plant species was given a native or non-native classification based on scientific literature. <i>Cirsium arvense</i> is classified as a non-native species according to Hodgson (Hodgson, 1968). <i>Taraxacum officinale</i> is classified as a non-native species as its origins are traced back to Europe according to Wirngo (Wirngo <i>et al</i>, 2016). <i>Plantago major</i> is classified as a non-native species as it is naturally found in Eurasia according to Hawthorn (Hawthorn, 1973). <i>Malva neglecta</i> is a non-native as its origins stems from Eurasia according to Makowski (Makowski and Morrison, 1989). <i>Ambrosia artemisiifolia</i> is native to North America according to Bassett (Bassett and Crompton, 1975). <i>Digitaria spp.</i> is a non-native species originally found in Eurasia according to Lundholm (Lundholm and Marlin, 2006). <i>Trifolium repens</i> is classified as a non-native species as it was originally introduced to the Americas from Europe according to Fraser (Fraser, 1989). Finally, <i>Solidago canadensis</i> is found natively in North America according to Yuan (Yuan <i>et al</i>, 2013). <br>

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.326
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.3390.013

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 head0.282
GPT teacher head0.287
Teacher spread0.005 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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