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Record W2316400441 · doi:10.1017/s0317167100002134

New Website for The Canadian Journal of Neurological Sciences

2002· article· en· W2316400441 on OpenAlexaffvenueabout
Daniel Keene, Douglas W. Zochodne, Sally Gregg

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2002
Typearticle
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsAlberta Bible College
Fundersnot available
KeywordsAction (physics)Content (measure theory)MedicinePsychologyNeuroscienceInternet privacyWorld Wide WebComputer scienceMathematicsPhysics

Abstract

fetched live from OpenAlex

The Canadian Congress of Neurological Sciences (CCNS) was established as a nonprofit professional org a n i z a t i o n dedicated to the advancement of knowledge, patient care and collegiality among health care professionals and research scientists working in all branches of the neurological sciences.The main activities of the CCNS have been the organization and running of the annual scientific meeting for its member societies/associations and the publishing of The Canadian Journal of Neurological Sciences (CJNS), a journal which has been jointly owned by the member societies since 1981.With the advent of the electronic era, changes must occur if the CCNS and CJNS are to continue to play a meaningful role.It is no longer enough to publish a top quality journal or organize high caliber meetings.Professional organizations are now also expected to play an active role in the continuing medical education (CME) of their members.The electronic committee of Canadian Congress of Neurological Sciences and The Canadian Journal of Neurological Sciences was established to advise, facilitate and monitor the development and implementation of electronic communication for both organizations.Within the next few years, it is envisioned that an electronic system will be in place that will allow for the rapid electronic dispersion of scientific advancements in Canadian clinical neurosciences to the practicing neurologist and neurosurgeons.This system will also be able to meet their continuing medical education needs; act as the principal communication between physician and the member societies/association of the Canadian Congress of Neurological Sciences; and be the resource to which patients and their families can be referred by their treating physicians to obtain reliable information about various neurological disorders.Several steps will be necessary in order to realize this vision.Some of these steps have already been completed.Others are in the development stages and will be gradually added.The purpose of this communication is to inform the members of the societies/associations that constitute the Canadian Congress of Canadian Neurological Sciences about this work in progress.Plans for updating the separate websites for the Canadian Congress of Neurological Sciences and The Canadian Journal of Neurological Sciences have been completed.Recently the new website for The Canadian Journal of Neurological Sciences became operational (www. c j n s .o rg).This site contains the contents, abstracts, articles and general information about The Canadian Journal of Neurological Sciences.It allows for rapid online search and downloading of articles published in the Journal.Cross-referencing of articles referenced in the Journal article has been done through a contractual arrangement with MetaPress, an online services company.This service allows online linkage to abstracts of the referenced article published in

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.780

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.007
Science and technology studies0.0040.001
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6910.405

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 head0.092
GPT teacher head0.276
Teacher spread0.184 · 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
GenreEditorial

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
Published2002
Admission routes3
Has abstractyes

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