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Long-term effects of sons in bighorn sheep

2020· dataset· en· W4394428165 on OpenAlexaboutno aff
Mathieu Douhard, Marco Festa‐Bianchet, Fanie Pelletier

Bibliographic record

VenueFigshare · 2020
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsnot available
Fundersnot available
KeywordsTerm (time)Ovis canadensisGeographyGenealogyHistoryDemographySociologyPhysics

Abstract

fetched live from OpenAlex

The file contains longitudinal data collected on female bighorn sheep at Ram Mountain, Alberta, Canada.Explanation of the different columns:id = female identifieryear = year of observationreproductive_success = whether or not a female produced a lamb surviving to 1 year of agefecundity = evidence of lactation (1 = yes, 0 = no)lamb_summer_survival = offspring survival to weaning (1 = yes, 0 = no)lamb_winter_survival = offspring survival from weaning to 1 year of age (1 = yes, 0 = no)Lamb_sex = lamb sex (0 = female, 1 = male)previous_reproductive_status = female reproductive status in preceding year (0 = failed, 1 = weaned a female, 2 = weaned a male).Longevity = standardized female longevity in yearsAge = standardized female age in yearsDensity = standardized population size in June of the year of observationearly_Nlamb = standardized number of offspring weaned by a female between 2 and 7 years of ageearly_sexratio = standardized proportion of sons weaned by a female between 2 and 7 years of age

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.482
Threshold uncertainty score0.958

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.004

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 head0.015
GPT teacher head0.252
Teacher spread0.237 · 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 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueFigshare→Same topicGenetic and phenotypic traits in livestock→French-language works237,207→