MétaCan
Menu
Back to cohort
Record W4392067843 · doi:10.51644/9780889207981

Biological Sciences at the National Research Council of Canada

2006· book· en· W4392067843 on OpenAlexaboutno aff
N. T. Gridgeman

Bibliographic record

Venuenot available
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsResearch councilPolitical scienceEngineering ethicsLibrary scienceRegional scienceGeographyComputer scienceEngineeringPhilosophy

Abstract

fetched live from OpenAlex

This monograph describes the work of the Division of Biological Sciences of the National Research Council of Canada. Part One deals with scientific research in agriculture and other areas from 1916 until 1939. The subject of Part Two is the solution of special problems connected with World War II, including the preservation and packaging of food for long–distance transportation. Part Three records changes in emphasis following the war and establishment of branch laboratories in various parts of Canada. Historians of science and students of Canadian history will find this a valuable reference work. Written in nontechnical language, it can be read easily by anyone interested in the development of biological sciences and in the work of the National Research Council.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.723

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0030.001
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.2010.125

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 head0.135
GPT teacher head0.319
Teacher spread0.183 · 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.

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

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicNutrition, Genetics, and DiseaseFrench-language works237,207