MétaCan
Menu
Back to cohort
Record W4395019880 · doi:10.9734/ajravs/2022/v5i2185

Bio-economic Model of Halal Goat Production System based on Experimentally Comparing Feeding with Madre de Cacao and/or with IPIL-IPIL (Maguindanao Province, Philippines)

2022· article· en· W4395019880 on OpenAlex
Manan E. Undong, Enrico P. Supangco, R. C. Sulabo, Rowena Baconguis

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

VenueAsian Journal of Research in Animal and Veterinary Sciences · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock Farming and Management
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsProduction (economics)BusinessAgroforestryAgricultural scienceEconomicsEnvironmental science

Abstract

fetched live from OpenAlex

The study was conducted to develop a bio-economic model of Halal goat production in Maguindanao, Philippines to serve as model to Muslim and non-Muslim goat raisers.Nineteen viable cooperatives in the province of Maguindanao were chosen as beneficiaries of the program.Model development, validation and use were done by adopting the STELLA version 4.0.1 computer software program.Interventions derived from the model were tested in the field.Experimental goats were stalled in pens, subjected under two treatments and a Control, and replicated in a

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)0.002
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 score0.503
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.122
GPT teacher head0.319
Teacher spread0.196 · 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