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Record W2345080207 · doi:10.21157/j.med.vet..v9i2.3810

JUMLAH ERITROSIT DAN NILAI HEMATOKRIT SAPI ACEH DAN SAPI BALI DI KECAMATAN LEUMBAH SEULAWAH KABUPATEN ACEH BESAR (Total Erythrocytes Count and Haematocrit Value of Aceh and Bali Cattle in Leumbah Seulawah, Aceh Besar)

2015· article· en· W2345080207 on OpenAlex

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

VenueJurnal medika Veterinaria · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock Farming and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHematocritVeterinary medicineAnimal scienceBiologySignificant differenceMedicineInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

The aim of this research was to find out total erythrocytes count and hematocrit value of aceh and bali cattle in Leumbah Seulawah, Aceh Besar. Ten aceh cattle (5 males and 5 females with the age of 2.5-3.0 years) and ten bali cattle (5 males and 5 females aged 2.5-3.0 years) from Leumbah Seulawah, Aceh Besar were used in this research. Blood samples approximately 3 cc were collected by venoject through jugular vein. Erythrocyte counts were performed using a hemocytometer and hematocrit value were performed by microhematocrit method. The average of erythrocyte counts of male and female aceh cattle were 7.75 ±1.86 and 7.34±0.73 (106/mm3) respectively, while male and female bali cattle were 5.49±0.88 and 4.89±0.53 (106/mm3) respectively. Hematocrit value of male and female aceh cattle were 32.8±3.70 dan 32.6±207% respectively, while male and female bali cattle were 27.4±3.00 and 25.8±1.30% respectively. In conclusion, erythrocytes count and hematocrit value of aceh cattle show significant difference (P0.01) from bali cattle.Key words: erythrocytes, hematocrit, aceh cattle, bali cattle

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.029
GPT teacher head0.247
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