MétaCan
Menu
Back to cohort
Record W4386454625 · doi:10.29327/1152426.1-24

Estudo e monitoramento sensorial de fatores abióticos em colmeias de abelhas sem ferrão do município de Apucarana e região

2022· article· pt· W4386454625 on OpenAlexaff
Gracielly Yukari Taniguchi Watanabe, Thales A. da Silva, Felipe Colaço De Oliveira, Kevin Henrique Dos Santos, Patrícia da Costa Alcaide Uchida, Ingrid Novais Otalora, Fabia Regina Gomes Ribeiro, Flávio Avanci de Souza, Viviane Cristhyne Bini Conte, Orlando Baron, Emerson Bulsonello dos Passos, Halison Correia Golias, Fernando Barreto, Rafael R. Borges, Rodrigo da Ponte Caun, Leandro da Silva Pereira

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Sciences
Canadian institutionsCamosun College
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Anais do XII Seminário de Extensão e Inovação & XXVII Seminário de Iniciação Científica e Tecnológica da UTFPR (978-85-5722-512-1) - Estudo E Monitoramento Sensorial De Fatores Abióticos Em Colmeias De Abelhas Sem Ferrão Do Município De Apucarana E Região

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.253
Teacher spread0.221 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicAgricultural and Food SciencesFrench-language works237,207