MétaCan
Menu
Back to cohort
Record W6984886420

[no title]

2024· other· en· W6984886420 on OpenAlexfundno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2024
Typeother
Languageen
FieldEngineering
TopicAdvanced Data and IoT Technologies
Canadian institutionsnot available
FundersDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoNatural Sciences and Engineering Research Council of CanadaSecretaría de Estado de Ciencia, Tecnología e InnovaciónMitacsInstituto Politécnico Nacional
KeywordsSustainabilityTransformative learningSustainable developmentResource (disambiguation)Fossil fuel
DOInot available

Abstract

fetched live from OpenAlex

Biodiesel, the sustainable fuel of the future, holds the key to a cleaner, greener world. Advanced Biodiesel - Technological Advances, Challenges, and Sustainability Considerations takes you on a compelling journey through cutting-edge advancements in biodiesel technology, offering an unparalleled exploration of its production, refining, and transformative applications. This book unveils the collective wisdom and vision of pioneers in the field who are shaping the future of sustainable energy. Whether you are a seasoned researcher, an aspiring scientist, or simply an eco-conscious individual, this book is an invaluable resource to inspire and guide your efforts to reduce our reliance on fossil fuels and pave the way for a more sustainable, environmentally responsible world. Discover the future of energy; embrace Advanced Biodiesel - Technological Advances, Challenges, and Sustainability Considerations today and join the movement towards a brighter, cleaner tomorrow.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.686
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3140.317

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 head0.068
GPT teacher head0.395
Teacher spread0.327 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueDirectory of Open access Books (OAPEN Foundation)Same topicAdvanced Data and IoT TechnologiesFrench-language works237,207