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Record W2140993271 · doi:10.1055/s-0038-1624041

Wie wirkt eine Energiepille für Kühe?

2009· article· de· W2140993271 on OpenAlex
J. Boje, H. Ditzel, B. Heidemann, T. Geishauser

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTierärztliche Praxis Ausgabe G Großtiere / Nutztiere · 2009
Typearticle
Languagede
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsGynecologyPillMedicinePharmacology

Abstract

fetched live from OpenAlex

Zusammenfassung: Gegenstand und Ziel: Gegenstand der Untersuchung war zu prüfen, inwiefern eine Energiepille (E-PILL®) Einfluss auf den Energiehaushalt von Kühen nach der Abkalbung nimmt. Material und Methoden: Die E-PILL® enthält 87 g Natriumpropionat. Jeweils 10 Kühe erhielten nach der Abkalbung zwei Stück E-PILL® (Fallgruppe) oder blieben unbehandelt (Kontrollgruppe). Sowohl vor als auch 1, 3, 6 und 24 Stunden nach der Gabe wurde Blut genommen und auf den Gehalt von β-Hydroxybutyrat untersucht. Ergebnisse: Zwei E-PILL® verminderten den Gehalt von β-Hydroxybutyrat im Blut signifikant von einer Stunde bis 24 Stunden nach Gabe im Vergleich zur unbehandelten Kontrollgruppe (p = 0,01). Schlussfolgerung: Zur Verbesserung der Energieversorgung kann empfohlen werden, einen oder mehrere Tage lang zwei E-PILL® täglich zu geben. Klinische Relevanz: Der Vorteil der E-PILL® ist, dass Natriumpropionat hiermit sicher und vollständig in den Pansen gelangt.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0020.001
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 head0.008
GPT teacher head0.259
Teacher spread0.251 · 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