MétaCan
Menu
Back to cohort

THE MORPH-PRODUCTIVE QUALITIES OF METIS RABBITS RESULTING FROM CROSSING OF DIFFERENT BREEDS

2020· article· uk· W3022759193 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEffective rabbit breeding and fur farming · 2020
Typearticle
Languageuk
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMetisBiologyZoologyAnimal scienceCombinatoricsVeterinary medicineMathematicsComputer scienceMedicineWorld Wide Web

Abstract

fetched live from OpenAlex


 
 
 В результаті контрольного забою кроликів в шести варіантах схрещування було розраховано співвідношення кістки: м'ясо. У помісей F1♀ Віденський Блакитний x ♂НовозеландскійБілій співвідношення склало 1: 3,5; упомісей F1 ♀ Новозеландський-Білий x ♂Чорно-Бурий - 1: 3,4; у F1 ♀ Новозеландський-Червоний x ♂ Новозеландський-Білий - 1: 3,3; у ♀Чорно-Бурий x ♂Новозеландскій-Білий співвідношення склало 1: 3,3; у ♀ Новозеландський-Білий x ♂ Віденський Блакитний - 1: 3,2 і упомісей F1 ♀ Новозеландський-Білий x♂ Новозеландський-Червоний - 1: 3,1. Помісі отримані при схрещуванні ♀ Віденський Блакитний x ♂ Новозеландський-Білий проявили більш високі відгодівельні якості (39,6 г / добу) і забійний вихід склав 63,9%.
 
 

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.034
GPT teacher head0.239
Teacher spread0.206 · 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