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Neuroanatomy Through Clinical Cases

2009· article· en· W2091041045 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Neuro-Ophthalmology · 2009
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNeuroanatomyNeuro-ophthalmologyCognitive sciencePsychologyNeurologyMedical educationMedicineNeuroscience

Abstract

fetched live from OpenAlex

Hal Blumenfeld, MD, PhD. Sinauer Associates, Sunderland, MA, 2002. ISBN 0-87893-060-4, $71.95. Scope: This is a neuroanatomy textbook written for medical students in their introductory neuroanatomy course and for students in their clerkship years on a neurology rotation. The book is divided into 12 chapters. The first 5 chapters deal with the general organization of the nervous system with 1 chapter devoted to neuroradiology. The other chapters describe distinct anatomical entities in the nervous system. Each chapter first describes the general anatomic organization of a specific system followed by clinical vignettes. One entire chapter is devoted to the visual system. It covers the localization of visual complaints and then optic neuritis, branch retinal artery occlusion, hemianopia, migrainous visual loss, and other main conditions. Strengths: This is an excellent textbook for medical students interested in neurology and for beginning neurology residents. It can also serve as a good reference book on clinical neuroanatomy for ophthalmology residents. Its main strength is the use of clinical cases and scenarios, which bring the study of neuroanatomy to life and make it a very practical learning guide for a subject that is often viewed by medical students as dry and irrelevant. Excellent descriptions of visual fields are given in several clinical cases. Three extensive chapters deal with the brainstem, including several cases of diplopia. Sufficient details are provided to make the cases a valuable learning exercise. The uniqueness of the book is its inclusion of a variety of clinical vignettes that are written in a problem-based format and that accompany a wide variety of basic neurological complaints encountered by general practitioners. All cases are very clearly written with illustrations accompanying some of them and sufficient references for more detailed learning. Each clinical case emphasizes a specific part of the neurologic examination. Weaknesses: The text is written in block format. A point format would be easier to digest in many chapters. Most anatomic figures are represented by schematic diagrams and drawings; in some cases photographs would be have been better. Recommended Audience: Medical students and residents in neurology and ophthalmology will find this book useful. Critical Appraisal: This is an excellent textbook for anyone teaching neuroanatomy, neurology, or ophthalmology to medical students. Its many clinical vignettes serve as an excellent resource for problem-based learning. Edward Margolin, MD Department of Ophthalmology University of Toronto Toronto, Ontario

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.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.139
GPT teacher head0.426
Teacher spread0.286 · 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