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Record W7052621808

Reproductive performance of sows supplemented with an oil high in essential fatty acids during early gestation

2000· other· en· W7052621808 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2000
Typeother
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsnot available
Fundersnot available
KeywordsGestationLinoleic acidLitterStrawPolyunsaturated fatty acidBody weightPregnancyDry matter
DOInot available

Abstract

fetched live from OpenAlex

Linoleic and linolenic acids are involved in both implantation and central nervous system development of the embryos. By supplementing gestation diets with these essential fatty acids (FAs), it may be possible to enhance embryo survival, litter size and piglet survivability. Approximately 60 sows and gilts were used for each of 3 trials. Animals were housed on straw in groups of 14 to 16 and were fed once daily in individual feeding stalls. On day of breeding (d0) animals were randomly assigned within pen to 1 of 3 treatments; diet 1 (T1) - control (commercial dry sow), diet 2 (T2) - starch (equal energy intake to diet 3, but no supplemental fatty acids), diet 3 (T3) - oil (supplemented with flax seed oil to bring linoleic acid content to 2%). Animals were formula-fed according to body weight (BW) during gestation (1%BW + 0.7kg). The test diets were fed until day 40 of gestation, after which all animals returned to the commercial gestation ration (control). In trial 1, the younger growing animals were weaned in relatively poor body condition and older mature animals tended to be over-conditioned. For trials 2 and 3, the feeding formula was adjusted to account for body condition as well as body weight. (Abstract shortened by UMI.)

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.001
GPT teacher head0.129
Teacher spread0.128 · 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 designBench or experimental
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
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicElectrostatic Discharge in Electronics→French-language works237,207→