MétaCan
Menu
Back to cohort
Record W3084207198 · doi:10.5539/jas.v12n10p205

Elaboration of By-Products of Cará (Dioscorea spp.) From Agroecological Experience

2020· article· en· W3084207198 on OpenAlexvenueno aff
Ana C. N. Lobato, Jane M. Leão, João B. D. Damaceno, Matheus Miranda Caniato, Kirk R. M. Soares, Albejamere Pereira de Castro, Carlos Victor Lamarão

Bibliographic record

VenueJournal of Agricultural Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsDioscoreaStarchFood scienceAgroecologyRecipeBusinessAgricultural scienceSensory analysisFood industryBiotechnologyMathematicsChemistryBiology

Abstract

fetched live from OpenAlex

Yam (Dioscorea spp.) is a tuberous plant of high energy and nutritional value, with great importance for the industry and as a food because of its composition. With the purpose of developing bakery products and determining its acceptability, cake, biscuit, pasta, pancake, bread, and pizza were prepared with 0 to 20% of starch in substitution for wheat flour. Yam starch was obtained when arriving at the industry in Caapiranga-AM, the flagship yam processing town in the region. Sensory evaluation was carried out by a target audience of 50 individuals, using a hedonic scale. For the statistical analysis, the Tukey’s test was used, and it was found that in the overall analysis, the best treatments were the control (no yam starch) and the one with 5% of yam starch. The production of these byproducts is viable, adding value to yam and delivering a product with better quality to consumers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.033
GPT teacher head0.264
Teacher spread0.231 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Agricultural ScienceSame topicBotanical Research and ApplicationsFrench-language works237,207