MétaCan
Menu
Back to cohort

Evaluation of eprinomectin extended-release injectable (LongRange®) on the performance of yearling cattle on pasture in western Canada

2018· article· en· W3126522672 on OpenAlexaffabout
Ryan D. Rademacher, Eric J. Behlke, S. L. Parr, Sherry J. Hannon, Christina Williams, R. Kent Fenton, G. Kee Jim, Calvin W. Booker

Bibliographic record

VenueThe Bovine Practitioner · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and fungal interactions
Canadian institutionsAlberta Health Services
Fundersnot available
KeywordsFeedlotAnimal scienceWithersRandomized block designBody weightWeight gainPastureIvermectinBeef cattleBreedCarcass weightVeterinary medicineBiologyBiotechnologyMedicineAgronomyEndocrinology

Abstract

fetched live from OpenAlex

During the pre-shipment handling procedures at each of 2 feedlots of origin, mixed-breed beef steers were weighed, stratified into weight blocks, and simultaneously randomized within weight block to 1 of 2 experimental groups (LONG or IVER) prior to shipment to pasture. Animals in the LONG group (1523 animals) received a subcutaneous injection of eprinomectin extended-release injectable at a dosage of 0.45 mg/lb (1.0 mg/kg) body weight (BW) in the loose skin in front of the shoulder at allocation. Animals in the IVER group (1524 animals) received topical ivermectin applied along the top line from withers to tail head at a dosage of 0.23 mg/lb (0.5 mg/kg) BW at allocation. Animals from both experimental groups were commingled within weight block and originating feedlot after allocation and remained in these commingled groups for the duration of the study. The average days on trial was 156.6 days for the LONG group and 156.7 days for the IVER group. There was a significant increase observed with respect to weight gain (absolute difference 23 lb [10.4 kg], P<0.001) and average daily gain (difference 11.19%, P<0.001) in the LONG group compared to the IVER group. There was an economic advantage of CAD $7.66/animal in the LONG group compared to the IVER group.

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)0.001
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 score0.830
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.036
GPT teacher head0.255
Teacher spread0.218 · 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

Citations2
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueThe Bovine PractitionerSame topicPlant and fungal interactionsFrench-language works237,207