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Record W2074815837 · doi:10.4141/a01-084

The n-alkane profile of some native and cultivated forages in Canada

2002· article· en· W2074815837 on OpenAlexaffvenueabout
D. A. Boadi, Soprunova NIa, K. M. Wittenberg, W. P. McCaughey

Bibliographic record

VenueCanadian Journal of Animal Science · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Manitoba
Fundersnot available
KeywordsForageCultivarAlkaneAgronomyChemistryBiologyBotanyAnimal scienceHydrocarbon

Abstract

fetched live from OpenAlex

Frage samples were collected from swards growing in Carberry, Manitoba, Brandon, Manitoba, Saskatoon, Saskatchewan, and St. John’s, Newfoundland, and the alkane concentrations were determined by gas chromatography. Considerable differences were observed in almost all odd-numbered alkanes and in their total content between species. The odd-numbered alkanes were always present in high concentrations compared to the even-chain alkanes in both native and cultivated species. Of the cultivated grasses, the fescues had very high concentrations of CN31 among the odd-chain alkanes, while the legumes tended to have higher concentrations of C29 than C31 or C33. The low concentrations of odd-chain alkanes (< 50 mg kg-1 DM) in little bluestem, indiangrass, reed canarygrass, orchardgrass, timothy and Russian wildrye forages could bias intake calculations of these forages when the double alkane technique is used. Differences between location and cultivar were observed for C29 in timothy and C31 in meadow bromegrass (P < 0.05). There were no effects of location and cultivar on n-alkane concentrations for orchardgrass (P > 0.05). Key words: n-alkanes, forage species, cultivar, location

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.209
Teacher spread0.187 · 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

Citations15
Published2002
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Animal ScienceSame topicRuminant Nutrition and Digestive PhysiologyFrench-language works237,207