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Record W2084667687 · doi:10.1080/00071660701665866

Radiodensity in the central cavity of humeri in high-producing non-commercial laying hens

2007· article· en· W2084667687 on OpenAlexafffund
W. D. Clark, William R. Cox, F.G. Silversides

Bibliographic record

VenueBritish Poultry Science · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food CanadaForskningsrådet om Hälsa, Arbetsliv och Välfärd
KeywordsMedullary cavityRadiodensityHumerusMaterials scienceRadiographyBody weightAnimal scienceComposite materialAnatomyBiologyMedicineInternal medicineSurgery

Abstract

fetched live from OpenAlex

1. Line differences in the incidence of the presence of radiodense material in the central cavities of humeri of 6 different lines of laying hens were observed using radiographs. 2. Internal humeral radiodense material was observed in over 60% of hens in two lines and 18% of hens in two other lines measured at 65 weeks of age. There was no difference in the incidence (15, 16%) between the last two lines observed at 47 weeks of age. 3. In the 4 lines studied at 65 weeks of age the presence of radiodense material was associated with increased humerus dry weight and ash weight in two lines, while percentage-ash was reduced in all 4 lines. 4. Results from this and previous studies suggest that humeral medullary bone could be an appreciable source of variability in experimental data collected to assess skeletal health.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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

Citations7
Published2007
Admission routes2
Has abstractyes

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