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Record W2169476998 · doi:10.1016/j.ymgme.2014.02.013

Phenylketonuria Scientific Review Conference: State of the science and future research needs

2014· article· en· W2169476998 on OpenAlexaff
Kathryn Camp, Melissa A. Parisi, Phyllis B. Acosta, Gerard T. Berry, Deborah A. Bilder, Nenad Blau, Olaf A. Bodamer, Jeffrey P. Brosco, Christine Brown, Alberto Burlina, Barbara K. Burton, Christine Chang, Paul M. Coates, Amy Cunningham, Steven F. Dobrowolski, John H. Ferguson, Thomas D. Franklin, Dianne M. Frazier, Dorothy K. Grange, Carol L. Greene, Stephen C. Groft, Cary O. Harding, R. Rodney Howell, Kathleen Huntington, Henrietta D. Hyatt-Knorr, Indira Jevaji, Harvey L. Levy, Uta Lichter‐Konecki, Mary Lou Lindegren, Michele A. Lloyd-Puryear, Kimberlee Michals Matalon, Anita MacDonald, Melissa L McPheeters, John J. Mitchell, Shideh Mofidi, Kathryn Moseley, Christine M. Mueller, Andrew E. Mulberg, Lata S. Nerurkar, Beth Ogata, Anne Pariser, Suyash Prasad, Gabriella Pridjian, Sonja A. Rasmussen, Uma M. Reddy, Frances Rohr, Rani H. Singh, Sandra Sirrs, Stephanie E. Stremer, Danilo A. Tagle, Susan Thompson, Tiina K. Urv, Jeanine Utz, Francjan van Spronsen, Jerry Vockley, Susan E. Waisbren, Linda S. Weglicki, Desirée A. White, Chester B. Whitley, Benjamin S. Wilfond, Steven Yannicelli, Justin M. Young

Bibliographic record

VenueMolecular Genetics and Metabolism · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsVancouver General HospitalMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsMedicineAgency (philosophy)Psychological interventionBest practiceFamily medicinePsychiatryPolitical science

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)0.008
metaresearch head score (Gemma)0.012
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0050.005
Open science0.0020.002
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0130.005

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 head0.015
GPT teacher head0.286
Teacher spread0.271 · 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
GenreReview

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

Citations269
Published2014
Admission routes1
Has abstractno

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