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Record W1635612609 · doi:10.1007/978-0-387-79058-9

Prebiotics and Probiotics Science and Technology

2009· book· en· W1635612609 on OpenAlexfundno aff
Dimitris Charalampopoulos, Robert A. Rastall

Bibliographic record

Venuenot available
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Production and Characterization
Canadian institutionsnot available
FundersTufts University School of MedicineUniversity of Illinois at Urbana-ChampaignDirectorate for Biological SciencesUniversidade de VigoInstitut National de la Recherche AgronomiqueVrije Universiteit BrusselKelaTurun YliopistoCentre National de la Recherche ScientifiqueNorth Carolina State UniversityUniversity of ReadingUniversity of MemphisLawson Health Research InstituteTeagascIndian National Science AcademyHelsingin ja Uudenmaan SairaanhoitopiiriUniversity of OtagoAgriculture and Agri-Food CanadaUniversity of WashingtonDepartment for Environment, Food and Rural Affairs, UK Government
KeywordsBiologyFood science

Abstract

fetched live from OpenAlex

Prebiotic and Probiotic Science and Technology provides a comprehensive overview on the advances in the field of prebiotics and probiotics. This volume presents the science underpinning the probiotic

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0180.017

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 head0.004
GPT teacher head0.209
Teacher spread0.205 · 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 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

Citations324
Published2009
Admission routes1
Has abstractyes

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