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Record W4313909511 · doi:10.1002/jsp2.1238

Harmonization and standardization of nucleus pulposus cell extraction and culture methods

2023· article· en· W4313909511 on OpenAlex
Shaghayegh Basatvat, Frances C. Bach, Marcos N. Barcellona, Abbie L. A. Binch, Conor T. Buckley, Brian Bueno, Nadeen O. Chahine, Ana Chee, Laura B. Creemers, Stefan Dudli, Bailey V. Fearing, Stephen J. Ferguson, Jennifer Gansau, Benjamin Gantenbein, Rahul Gawri, Juliane D. Glaeser, Sibylle Grad, Julien Guerrero, Lisbet Haglund, Paula Hernández, Judith A. Hoyland, C.‐Y. Charles Huang, James C. Iatridis, Svenja Illien‐Jünger, Liufang Jing, Petra Kraus, Lisanne T. Laagland, Gernot Lang, Vyl Leung, Zhen Li, Thomas Lufkin, Josette C. van Maanen, Emily E. McDonnell, Christopher J. Panebianco, Steven M. Presciutti, Sanjna Rao, Stephen M. Richardson, Sarah M. Romereim, Tara C. Schmitz, Jordy Schol, Lori A. Setton, Dmitriy Sheyn, Joseph Snuggs, Yi Sun, Xiaohong Tan, Marianna A. Tryfonidou, Nam Vo, Dong Wang, Brandon Williams, S. Tim Yoon, Christine L. Le Maitre

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJOR Spine · 2023
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsMcGill UniversityMcGill University and Génome Québec Innovation Centre
FundersH2020 European Institute of Innovation and TechnologyHorizon 2020 Framework ProgrammeNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungScience Foundation IrelandIrish Research Council for Science, Engineering and TechnologyIrish Research CouncilEuropean CommissionDutch Arthritis AssociationU.S. Department of Veterans AffairsNational Institute of Arthritis and Musculoskeletal and Skin DiseasesAOSpineOffice of Research and DevelopmentNational Science Foundation
KeywordsCell cultureCellCell growthExtraction (chemistry)BiologyStandardizationCell biologyBiotechnologyComputational biologyBioinformaticsChemistryComputer scienceBiochemistryChromatographyGenetics

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Methods
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentallow
gptno category
Domain: not available · Genre: Methods
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentalhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.000
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 score0.178
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.382
Teacher spread0.358 · 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