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Record W2099927069 · doi:10.5539/jas.v5n11p110

Mineralogical Characterization of Premix Used in the Manufacture of Feed for Poultry and Livestock

2013· article· en· W2099927069 on OpenAlexvenueno aff
Snežana Dević, Mira Cocić, Mihovil Logar, Suzana Erić, Nenad Matejevic

Bibliographic record

VenueJournal of Agricultural Science · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMinerals Flotation and Separation Techniques
Canadian institutionsnot available
FundersScience and Engineering Research Board
KeywordsLivestockClinoptiloliteCalciteChemistryZeoliteFood scienceEnvironmental scienceMineralogyBiologyEcologyBiochemistry

Abstract

fetched live from OpenAlex

One of the basic requirements that must be met in the production of livestock and poultry is a good food for their diet. Premix is an integral part in the food production for poultry and livestock. It is a mixture of organic and inorganic components. Our study has been conducted with a goal to identify minerals in foreign premix for the production of domestic premix and substitution of premix imported. Food with foreign premix has shown good results while raising poultry and livestock. Production of domestic premix with minerals from our area would enable better utilization of domestic resources. Using different methods (DTA, IR, XRD, SEM and EDS) mineralogical characterization of foreign premix has been made. Based on results of mineralogical characterization, minerals in mineral part of foreign producers’ premix have been clearly identified. They are Clinoptilolite (Ca, K,) 2-3Al3 (Al, Si) 2Si13O36 12 (H2O), as primary and minerals Quartz (SiO2) and Calcite (CaCO3) as secondary. The Clinoptilolite is mineral from zeolite 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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score0.090

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 communication0.0000.001
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 head0.012
GPT teacher head0.238
Teacher spread0.227 · 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 designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

Explore more

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