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Impact of a progesterone-releasing intravaginal device on plasma progesterone levels in lactating dairy cattle

2006· article· en· W3126439463 on OpenAlexaff
Greg Keefe, E. James Squires, Rob Walsh, Jeffrey B. Wilson, K.E. Leslie

Bibliographic record

VenueThe Bovine Practitioner · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of GuelphUniversity of Prince Edward Island
Fundersnot available
KeywordsEstrous cycleRadioimmunoassayEstrus synchronizationGroup BInternal medicineMedicineEndocrinologyInfertilityArea under the curveDairy cattleArtificial inseminationHormoneAnimal scienceAndrologyOvulationBiologyPregnancy

Abstract

fetched live from OpenAlex

Plasma progesterone (P4) levels were assessed by radioimmunoassay in lactating dairy cows treated with a progesterone-releasing intravaginal device (PRID). Group A cows (N=6) received no treatment. PRIDs were administered to Group B1 (N=3) on day 25 after the first observed estrus (Day 0) and to Group B2 (N=3) on day 31, and were withdrawn 14 days after administration. Blood was collected daily from day 0 until 56 hours after withdrawal of the PRID (Group B), or on alternate days until a second estrus was observed (Group A). The area under the P4 curve (AUC) did not differ for Groups A and B pre-insertion of the PRID, but was significantly greater for Group B post-insertion. The AUC in Group B cows was significantly greater post-insertion than pre-insertion, but AUC did not differ in Group A cows for these study days. Maximum P4 was significantly greater in Group B1 post-insertion than pre-insertion. Results of this study are consistent with clinical studies demonstrating the efficacy of the PRID in estrus synchronization and treatment of infertility, and support the hypothesis that these effects are due, at least in part, to modulation of circulating progesterone levels.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

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

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 head0.033
GPT teacher head0.288
Teacher spread0.255 · 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 teacher head, 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

Citations1
Published2006
Admission routes1
Has abstractyes

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