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Record W4250277519 · doi:10.1016/s1499-4046(14)00680-0

Table of Contents

2014· article· en· W4250277519 on OpenAlexvenueno aff
Kendra Kattelmann, Karen Chapman‐Novakofski, D. Hildebrand, Patrick J. McCarthy, Dave Tipton, Connie Merriman, Melody Schrank, Melanie J. Newport, Helen Dixon, Marlan O. Scully, Brendan S. Kelly, R J Donovan, Kenneth R. Chapman, Melanie Wakefield, Alison K. Ventura, S Anzman, S Leonard, David Gee, Yunhai Zhu, Catherine M. Crespi, Shannon E. Whaley, Cassandra S. Diep, Tien‐Hsing Chen, V. Davies, Janice Baranowski, Tom Baranowski, Amy R. Mobley, Jens Oluf Jensen, Melissa Maulding, Viviane Fornasaro-Donahue, Alison Tovar, Linda Sebelia, Geoffrey Greene, Mary L. Greaney, Cary K. Hardwick, Jennifer Spadano‐Gasbarro, Solomon Mezgebu, Christine Horan, Sara Schlotterbeck, Stephen F. Austin, Kelly Peterson, Michelle Jeong, J. Gilmore, Amy Bleakley, Alexander Jordan, David Nelson, D Graham, Lisa Harnack, Ryland Richards, Marla Reicks, Stephen T.C. Wong, Carolyn Gunther, Mary Cluskey, Christine Bruhn, Nikki Johnston, Scottie Misner, Carolyn Watters, Colin P. Dunn, Lauren Whetstone, Kathryn M. Kolasa, K. S. U. Jayaratne, Carlos Thomas, Suneil Aggarwal, Karl-Christian Nordby, Kathleen Riley, Stanley A. Herring, Jane F. Cruice, G BENNETT, Adam Davey, Gary D. Foster, Deepika Bangia, Debra Palmer‐Keenan, A. Darise Farris, Sarah Misyak, K. J. Duffey, G Davis, Kathryn Hosig, Naama Atzaba‐Poria, Mary M. McFerren, Elena Serrano, Rachel E. Scherr, Jessica D. Linnell, Monte D. Smith, M Briggs, Jacqueline Bergman, K Brian, Madan Dharmar, Gail Feenstra, Carol Hillhouse, Carl L. Keen, Le Xuan Truong Nguyen, Yvonne Nicholson, Lenna Ontai, S Schaefer, Theresa Spezzano, Francene M. Steinberg, Carolyn Sutter, James R. Wright, Heather A. Young, Sheri Zidenberg-­Cherr

Bibliographic record

VenueJournal of Nutrition Education and Behavior · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTable (database)Computer scienceDatabase

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.125
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.003
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8750.805

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 head0.043
GPT teacher head0.251
Teacher spread0.207 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2014
Admission routes1
Has abstractno

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