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Record W4239674834 · doi:10.1017/cjn.2018.36

Canadian Association of Neuropathologists L’Association Canadienne des Neuropathologistes

2018· article· en· W4239674834 on OpenAlexvenueaboutno aff

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2018
Typearticle
Languageen
FieldMedicine
TopicAutopsy Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsNeuropathologyLibrary scienceMedicinePsychologyGerontologyPathology

Abstract

fetched live from OpenAlex

The Canadian Association of Neuropathologists (CANP) held their 57 th annual meeting at the Inn at the Forks Hotel in Winnipeg, Manitoba from October 12 th -14 th , 2017, under the leadership of Dr. Marc Del Bigio, CANP president, who also handled the local arrangements. The annual banquet was held at the Assiniboine Park Conservancy where the polar bears captivated the crowd of Neuropathologists. The academic program of 14 scientific abstracts and 11 unknown cases were compiled by the CANP Secretary-Treasurer Dr. Julia Keith into 4 sessions; Infectious/Immune Mediated and Epilepsy Neuropathology, Tumour Neuropathology, Developmental Neuropathology and Neurodegenerative/Neuromuscular Neuropathology. The program also included a guided interactive forum on Quality Assurance and Professional Affairs for Neuropathologists led by Dr Del Bigio. The digital pathology images from the 11 unknown cases are available for viewing online (www.canp.ca) thanks to the CANP webmaster, Dr. Jason Karamchandani. All submitted abstracts were peer reviewed by the CANP Abstract Review committee comprised of Drs. Marie-Christine Guiot, David Munoz, and Harvey Sarnat. The Presidential Symposium explored the theme of Pediatric Head Injuries and Forensic Neuropathology. Dr. Michael J. Ellis (Section of Neurosurgery, University of Manitoba) delivered an invited lecture entitled Current Concepts in Pediatric Concussion . The Dr. Gordon Mathieson invited member lecturer was Dr. David Ramsay (Western University) who spoke on the subject of Observations on Selected Neuropathological Aspects of Suspected Inflicted Head and Spinal Injury in Young Children . The Dr. David Robertson invited lecture was delivered by Dr. Paul Kadar (Department of Pediatrics, Hospital for Sick Children, University of Toronto) Child Maltreatment/Abusive Head Trauma in a “Pre-” and “Post-Goudge” World . The Dr. Jerzy Olszewski guest lecturer was Dr. Waney Squier (Oxford University, UK) who explained the Impact of Legal Changes in the UK on Brain Retention, Evolving Opinions and Controversies about “Shaken Baby Syndrome” . The symposium concluded with a panel discussion and group Question and Answer session with the symposium speakers. The resident awards committee was comprised of Drs. Sidney Croul and Sherry Krawitz. The Mary Tom Award for best clinical science paper was awarded to Dr. Randy van Ommeren (supervisor Dr. Patrick Shannon) for his presentation of Unknown Case #8 and the Morrison H. Finlayson Award went to Dr. Andrew Gao (supervisor Dr. Lili Hazrati) for his presentation Abstract #14 The Role of ATP and P2X Purinoreceptor 7 in the Pathogenesis of Cerebral Tau. The following abstracts were presented at the 2017 Canadian Association of Neuropathologists (CANP) 57th Annual Meeting in October. The material presented contains the abstracts submitted as part of the 2017 Canadian Association of Neuropathologists (CANP) 57th Annual Meeting, as part of the standard processes of The Canadian Journal of Neurological Sciences , and may contain promotional content that does not represent the views or policies of the journal or publisher. The content and the views expressed therein are those of the presenting entity and not the Editors of The Canadian Journal of Neurological Sciences , the Canadian Neurological Sciences Federation, or Cambridge University Press. Authors have not provided standard disclosure forms as part of their submission, although these would have been evident at the time of the meeting.

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 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)0.009
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.005
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.279
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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
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

Citations0
Published2018
Admission routes2
Has abstractyes

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