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Record W3009018113

Quantitative MRI of the spinal cord: Reproducibility and normative values across 40 sites

2020· article· en· W3009018113 on OpenAlexaff
Eva Alonso‐Ortiz, Charley Gros, Alexandru Foias, Mihael Abramovic, Christoph Arneitz, Nicole Atcheson, Laura Barlow, Robert Barry, Markus Barth, Marco Battiston, Christian Büchel, Matthew D. Budde, Virginie Callot, Benjamin De Leener, Maxime Descoteaux, Paulo Loureiro de Sousa, Marek Dostál, Julien Doyon, Adam Dvorak, Falk Eippert, Karla R. Epperson, Jürgen Finsterbusch, Issei Fukunaga, Claudia A. M. Gandini Wheeler‐Kingshott, Giancarlo Germani, Guillaume Gilbert, Francesco Grussu, Akifumi Hagiwara, Pierre‐Gilles Henry, Thomas Horak, Masaaki Hori, James M. Joers, Kouhei Kamiya, Haleh Karbasforoushan, Ali Khatibi, Joo-Won Kim, Nawal Kinany, Hagen H. Kitzler, Shannon Kolind, Joe Yazhuo Kong, Paul Kuntke, Nyoman D. Kurniawan, Sławomir Kuśmia, René Labounek, Maria Marcella Laganà, Corree Laule, Christine Law, Christophe Lenglet, Tobias Leutritz, Yaou Liu, Sara Llufriú, Sean Mackey, Eloy Jiménez Martínez, Igor Nestrašil, Nico Papinutto, Daniel S. Papp, Deborah Pareto, Todd B. Parrish, Anna Pichiecchio, À. Rovira Cañellas, Marc J. Ruitenberg, Rebecca S. Samson, G. Savini, Maryam Seif, Alan C. Seifert, Alex K. Smith, Zachary A. Smith, Elisabeth Solana, Yuichi Suzuki, George Tackley, Alexandra Tinnermann, Jan Valošek, Marios Yiannakas, Kenneth A. Weber, Nikolaus Weiskopf, Richard G. Wise, Patrik O. Wyss, Junqian Xu, Julien Cohen‐Adad

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2020
Typearticle
Languageen
FieldEngineering
TopicMedical Imaging and Analysis
Canadian institutionsMontreal Neurological Institute and HospitalUniversité de SherbrookeMcGill UniversityUniversity of British ColumbiaPolytechnique Montréal
Fundersnot available
KeywordsReproducibilityNormativeMedicineMathematicsStatisticsPolitical scienceLaw
DOInot available

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)0.011
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.989
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.277
Teacher spread0.255 · 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 designObservational
DomainReproducibility
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

Citations1
Published2020
Admission routes1
Has abstractno

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