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Record W4237001716 · doi:10.1017/s0317167100016425

Canadian Association of Neuropathologists L'Association Canadienne des Neuropathologistes - ABSTRACTS October 16th-19th, 2013 Ottawa, Ontario Abstracts and unknown cases presented at the 53rd annual meeting

2014· article· en· W4237001716 on OpenAlexaffvenueabout
Arnulf H. Koeppen, R. Liane Ramirez, Erik C Kuntzsch, I.Z. MacKenzie, Jean Woulfe, Drs Woulfe, Gerard H. Jansen, Sidney Croul, Jean Michaud, Rob The, Jurek Olszewski, Michael A. Rudnicki, Claire Coire, A. M. E. Easton, S. The, Mary Tom, Jahannaz Dastgir, Anne Rutkowski, Rachel Alvarez, Stacy Cossette, Ke Yan, Ray G. Hoffmann, C. Sewry, Yukiko Hayashi, Hans‐Hilmar Goebel, Carsten G. Bönnemann, Michael W. Lawlor

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2014
Typearticle
Languageen
FieldMedicine
TopicRadiation Dose and Imaging
Canadian institutionsSunnybrook Health Science CentreUniversity Health NetworkHealth Sciences CentreTrillium Therapeutics (Canada)University of Toronto
Fundersnot available
KeywordsAssociation (psychology)MedicineLibrary scienceGerontologyPsychologyComputer science

Abstract

fetched live from OpenAlex

Canadian Association of Neuropathologists L'Association Canadienne des Neuropathologistes - ABSTRACTS October 16th-19th, 2013 Ottawa, Ontario Abstracts and unknown cases presented at the 53rd annual meeting - Volume 41 Issue 1

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.002
metaresearch head score (Gemma)0.006
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: Other
Teacher disagreement score0.870
Threshold uncertainty score0.447

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1300.023

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 head0.019
GPT teacher head0.249
Teacher spread0.230 · 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
Published2014
Admission routes3
Has abstractyes

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