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Bird Study Data Set Biol 3250

2015· dataset· en· W4394180839 on OpenAlexaboutno aff
Nigel Barnes

Bibliographic record

VenueFigshare · 2015
Typedataset
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsData setSet (abstract data type)Computer scienceArtificial intelligenceProgramming language

Abstract

fetched live from OpenAlex

Using four decimals scale, 900 grams of bird seed was measured three times and placed in three identical plastic containers. Each container was then treated with water and one dye colour: red, green or yellow. Water allowed the dye to be absorbed by seed in order for seed to express the desired colour. 30 grams of coloured seed was then placed in 25 empty white bowls, and this was repeated for each colour. In total there was 125 bowls of seed each with 30 grams of either yellow, red or green in each bow. Bowls were brought to five chosen forest on York University campus in Toronto Ontario on October 1st, 2015. The edges of each forest were designated with a number from 1-4; North-1, South-2, West-3, and East-4. Using a random number generator, one of the four edges of the forest was chosen. The chosen edge was further divided horizontally along the edge into four equal sections, each section was then designated with a number from 1-4. Using a random number generator one of the section along the chosen edge was selected. The trees along the edge of the chosen section was then numbered, and using a random number generator a tree was selected. Starting from the chosen tree, orientated perpendicularly to the edge of the forest, 20 meter of the transect tape was placed on the ground. Walking along the transect tape three bowls each containing 30.00 grams of bird seed was placed in triangular orientation on the ground at the 1-meter mark of the transect tape. Each bowl within the triangular orientation contained a different colour bird seed; 1 bowl contained green bird seed, 1 bowl contained red bird seed and 1 bowl contained yellow bird seeds. This was repeated at 5, 10, 15, and 20 meters’ mark of the transect tape. Next the recorder stood in close proximity of the bowls until exactly 3:00 p.m. Eastern Pacific time, ensuring that no birds began eating the birds seed. At exactly 3:00 p.m.- 5:00 p.m. Eastern Pacific time, the recorder moved 30 feet away from bowls allowing the birds to begin to eat the bird seeds. At 5:00 p.m. the bird seeds remaining in each bowl was then weighed and recorded. This was repeated again on Thursday October 8th , 2015 and Thursday October 15th, 2015.

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)0.004
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.097
Threshold uncertainty score0.325

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0970.047

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 head0.292
GPT teacher head0.360
Teacher spread0.067 · 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
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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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Same venueFigshare→Same topicSpecies Distribution and Climate Change→French-language works237,207→