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Record W7070514295

Ontario Bird Records Committee Report for 1984

2024· article· en· W7070514295 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Government (linguistics)LegislationFeature (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Changes to the Checklist of Ontario Birds Yellow-nosed Albatross, Sooty/Shorttailed Shearwater and Anna's Hummingbird are new to the Checklist of Ontario Birds, increasing the provincial total to 486 species.Western Wood-Pewee (along with Yellow-nosed Albatross and Anna's Hummingbird) is new to southern Ontario.Dovekie and Sulphur-bellied Flycatcher (along with Sooty/Short-tailed Shearwater) are new to northern Ontario. Listing of RecordsFor all accepted records (and also records for which the identification was accepted but the origin is questionable), detailed information is always provided (if known) for the following: year of occurrence, number of birds, the plumage, age and sex of each individual, dates of occurrence, location, contributors and OBRC file number.All contributors who have provided documentation are listed; if a contributor is also a finder of the bird(s), their name is underlined.Additional finders of the bird(s), when known, are also listed, even though they did not provide any documentation.Place names in italics refer to various municipalities in Ontario including counties and districts.For accepted records, the current total number of records is indicated in parentheses after the species name.Common and scientific names, as well as taxonomy, follow the seventh Volume 29 Number 3 107 Figure 1.Members of the 2010 OBRC -front row, seated (left to right): Glenn Coady (Chair),

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: Empirical · Consensus signal: none
Teacher disagreement score0.068
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0670.027

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 head0.018
GPT teacher head0.194
Teacher spread0.175 · 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
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

Citations1
Published2024
Admission routes1
Has abstractyes

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Same venueDigital Commons - University of South Florida (University of South Florida)Same topicAvian ecology and behaviorFrench-language works237,207