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Record W74091223 · doi:10.1017/s031716710001516x

Supplement 4: Canadian Guidelines on Parkinson's Disease

2012· article· en· W74091223 on OpenAlexafffundvenueabout
David A. Grimes, Joyce Gordon, Barbara Snelgrove, Ivy Lim-Carter, Edward A. Fon, W. R. Wayne Martin, Marguerite Wieler, Oksana Suchowersky, Alex Rajput, Anne Lafontaine, A. Jon Stoessl, Elena Moro, Kerrie Schoffer, Janis M. Miyasaki, Doug Hobson, Minoo Mahmoudi, Susan H. Fox, Ron Postuma, Hrishikesh Kumar, Mandar Jog

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2012
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity of Ottawa
FundersParkinson Society CanadaUniversity of OttawaTeva Pharmaceutical Industries
KeywordsParkinson's diseaseAction (physics)MedicinePhysical medicine and rehabilitationPsychologyDiseasePathologyPhysics

Abstract

fetched live from OpenAlex

The Canadian Journal of Neurological Sciences is published bimonthly.The annual subscription rate for Individuals (print and online) are: C$170.00 (Canada), C$200.00 (US), C$280.00 (International).Subscription rates for Institutions (print and online) are C$190.00(Canada), C$220.00 (US), C$300.00 (International)."Online Only"-Available only to International subscribers -C$160.00(Individual), C$180.00 (Institutional).See www.cjns.orgfor full details including taxes.Single copies C$30.00 each plus C$25.00 shipping and handling.

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)0.003
metaresearch head score (Gemma)0.015
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: Other · Consensus signal: Other
Teacher disagreement score0.261
Threshold uncertainty score0.525

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.006
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0050.001
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0460.018

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 head0.068
GPT teacher head0.317
Teacher spread0.250 · 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
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

Citations125
Published2012
Admission routes4
Has abstractyes

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