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Record W2871873250 · doi:10.5740/jaoacint.smpr2018.002

Standard Method Performance Requirements (SMPRs®) 2018.002: Fructans in Animal Food (Animal Feed, Pet Food, and Ingredients)

2018· article· en· W2871873250 on OpenAlexaff
John Szpylka, Nancy Thiex, Belisario Acevedo, Asier Albizu, Parul Angrish, Sean Austin, Knuk Erik Bach Knudsen, Charles A Barber, Daniel Berg, Sneh Bhandari, Annie Bienvenue, Kaitlin Cahill, Jane M. Caldwell, Christian Campargue, France Cho, Mark W. Collison, Claudio Cornaggia, Hans Cruijsen, Manisha Das, Marcel De Vreeze, Inge Deutz, J. R. Donelson, Aurélie Dubois, Gustaaf S Duchateau, Lucien Duchateau, David Ellingson, Jay Gandhi, Frank Gottsleben, Jonathan Haché, Gale Hagood, M. Hamad, Philip Haselberger, Thomas Hektor, Ryan Hoefling, Steve Holroyd, Douglas L. Holt, Jeff G Horst, Ruth Ivory, Arrate Jaureguibeitia, Martha Jennens, Diana C Kavolis, Lindsay Kock, Erik J M Konings, Scott Krepich, Dana A Krueger, Markus Lacorn, Cheryl L Lassitter, Sookwang Lee, Han Li, Alex Liu, Kai Liu, Bozena D Lusiak, Eva Lynch, Kateřina Maštovská, Barry V. McCleary, Gaston M Mercier, Pierre L Metra, Lucia Monti, Carlos Jhonatan Moscoso, Hari Narayanan, Salvatore Parisi, Giampaolo Perinello, Melissa Phillips, Susan Pyatt, Miachael Raessler, Lars M Reimann, Catherine A. Rimmer, Alejandra Rodríguez‐Fernández, Joe Romano, Sandra Salleres, Mariusz Śliwiński, Georgina Smyth, Kathryn Stanley, Monique Steegmans, Hiroko Suzuki, Kathy Swartout, Naim Tahiri, Richard Ten Eyck, Marina Graciela Torres Rodriguez, James Van Slate, P.J. Van Soest, Tom Vennard, Roberta Vidal, Rikke Susanne Vinbord Hedegaard, Ioannis Vrasidas, Yannis Vrasidas, S. N. Walford, Paul Wehling, Paul Winkler, Ronald Winter, Bryan Wirthwine, Doug Wolfe, Laura J. Wood, David C Woollard, Sudhakar Yadlapalli, Xun Yan, Jinchuan Yang, Zheng Yang, Guhong Zhao

Bibliographic record

VenueJournal of AOAC International · 2018
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsAbbott (Canada)Canadian Food Inspection AgencyMaxxam (Canada)
Fundersnot available
KeywordsPet foodAnimal foodFood scienceAnimal feedFructanBusinessBiotechnologyChemistryBiology

Abstract

fetched live from OpenAlex

John Szpylka, Nancy Thiex, Belisario Acevedo, Asier Albizu, Parul Angrish, Sean Austin, Knuk Erik Bach Knudsen, Charles A Barber, Daniel Berg, Sneh D Bhand

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.871

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.312
Teacher spread0.291 · 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 teacher head, 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

Citations14
Published2018
Admission routes1
Has abstractyes

Explore more

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