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Record W4234573127 · doi:10.1016/s0196-6553(12)01400-9

Editorial Board

2013· paratext· es· W4234573127 on OpenAlexaff
Elaine Larson, New York, Janet Haas, Cathryn Murphy, Russell N. Olmsted, Ann Arbor, Kurt Stevenson, Columbus Ohio, Joan Hebden, Cathryn Baltimore, Marc‐Oliver Wright, Antoine Andremont, Kathy Aureden, Cic Elgin, Michael Borg, Malta Carrico, Jeannie P. Cimiotti, Sean P. Clarke, Titus Daniels, Mmhc Nashville, Vincent A. DeBari, Marci Drees, Del Wilmington, Atlanta Ellingson, Judith Ga, Joan Bethesda, Fran Slater Feltovich, Cphq Houston, Candace Friedman, Barbara A. Goldrick, Dinah Gould, Patti Grant, Linda Greene, Christopher Griffith, Teresa Horan, Atlanta Ga, Sandra Hyman, Janine Jagger, Smilja Kalenić, Irena Kenneley, Cic Cleveland, Gavin Leslie, Perth Australia, Farrin A. Manian, St Louis, Mary Lou Manning, Geeta Philadelphia, New Mehta, India Delhi, Cathryn Molinari, Folasade Ogunsola, Daryl Paulson, Cic Bozeman, Eli N. Perencevich, Iowa City, Iowa Perz, M Drph, Jeanne Ga, Terri Rebmann, Víctor Rosenthal, Henning Rueden, Syed A. Sattar, Hugo Sax, Mitchell J. Schwaber, Tel Aviv, Israel Schweon, Elizabeth Saylorsburg, Barbara Malta, Olympia Soule, Kurt Wash, Columbus Stevenson, Patricia Ohio, New Stone, Stephen York, Fort Streed, Kerri Myers, Baltimore Thom, Thelma Van Der Merwe, South África, Pair-Dong Wang, Taipei Taiwan, Mary H. Wilde, Cosmina Zeana, Dick Zoutman, Christina Bunner, Katherine Ellingson

Bibliographic record

VenueAmerican Journal of Infection Control · 2013
Typeparatext
Languagees
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsDystonia Medical Research Foundation Canada
Fundersnot available
KeywordsMedicineEditorial boardLibrary 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)0.004
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.738
Threshold uncertainty score0.876

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.031
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0030.001
Scholarly communication0.0080.003
Open science0.0020.002
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.2620.194

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 head0.009
GPT teacher head0.302
Teacher spread0.293 · 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.

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
Published2013
Admission routes1
Has abstractno

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