MétaCan
Menu
Back to cohort
Record W2057895172 · doi:10.1094/cfw-57-5-0230

AACCI Approved Methods Technical Committee Report: Collaborative Study on a Method for Determining Firmness of Cooked Pulses (AACCI Method 56-36.01)

2012· article· en· W2057895172 on OpenAlexaff
N. Wang, Joe Panozzo, Jennifer A. Wood, Linda Malcolmson, Gene Arganosa, Byung‐Kee Baik, D. Driedger, Jixiang Han

Bibliographic record

VenueCereal Foods World · 2012
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Chemometric Analyses
Canadian institutionsUniversity of SaskatchewanAgriculture Food and Rural DevelopmentCanadian International Grains Institute
Fundersnot available
KeywordsChemistryComputer scienceMaterials scienceMathematics

Abstract

fetched live from OpenAlex

A method based on compression through a Kramer shear cell was developed for determining the firmness of cooked pulses. Ten laboratories analyzed twenty-six blind duplicates of thirteen different samples in a collaborative study to evaluate the repeatability and reproducibility of the method. Statistical analysis of the collaborative data indicated that within-laboratory repeatability standard deviation (sr) was in the range of 0.53 to 1.43, and among-laboratory reproducibility standard deviation (sR) varied from 0.74 to 1.94. The within-laboratory relative standard deviation (RSDr) of samples ranged from 2.45 to 7.24%, and the among-laboratory relative standard deviation (RSDR) ranged from 4.23 to 8.80%.

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)0.051
metaresearch head score (Gemma)0.057
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.271

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.057
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.003
Science and technology studies0.0050.002
Scholarly communication0.0040.001
Open science0.0060.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0730.070

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 head0.058
GPT teacher head0.448
Teacher spread0.390 · 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 designBench or experimental
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

Citations15
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCereal Foods WorldSame topicSpectroscopy and Chemometric AnalysesFrench-language works237,207