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Record W3006288755 · doi:10.1159/000505704

Johann Bernhard Aloys von Gudden: The Unrecognized Role of the Psychiatrist and Neuroanatomist in Modern Stereotactic Neurosurgery

2020· review· en· W3006288755 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.

Bibliographic record

VenueStereotactic and Functional Neurosurgery · 2020
Typereview
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNeurosurgeryRadiosurgeryStereotactic surgeryMedicinePsychosurgeryPsychologyMedical physicsPsychiatryNeuroscienceSurgery

Abstract

fetched live from OpenAlex

Bernhard von Gudden was the founder of the famous school of psychiatry and neuroanatomy in Munich, Germany. Beyond his association with the mysterious death of King Ludwig II of Bavaria, not much is known about Bernhard von Gudden's work in neuroanatomy. He pioneered fiber tract mapping by studying the effects of neurodegeneration following brain lesions. His ideas and work lay the foundation for subsequent fiber tract mapping strategies including the latest method using diffusion tensor magnetic resonance. This paper describes and acknowledges his contribution to the field, now collectively known as connectomics, and describes how it has become an essential tool in modern stereotactic neurosurgery.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.976
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.044
GPT teacher head0.260
Teacher spread0.216 · 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