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THEODOR KOCHER'S CRANIOMETER

2009· article· en· W182593732 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNeurosurgery · 2009
Typearticle
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of Saskatchewan
KeywordsMedicineSubspecialtyNeurosurgeryIntracranial pressureGeneral surgerySurgical proceduresSurgeryPathology

Abstract

fetched live from OpenAlex

The first half of the 20th century witnessed the rapid emergence of neurological surgery as a surgical subspecialty. Only few surgeons made a name for themselves equally in general surgery and neurological surgery. One of them was the Swiss surgeon Theodor Kocher (1841-1917). He was honored with the Nobel Prize for his innovative approaches to pathology and surgery of the thyroid gland. Kocher also attracted students from all over the world to his laboratory to study the pathology of neurotrauma and the consequences of increased intracranial pressure on brain function. One of his most interesting contributions to the neurosurgical equipment of his time is a craniometer, used to correlate the location of intracranial pathology to landmarks on the surface of the cranium. Craniometers can be seen as simple forerunners of today's sophisticated stereotactic frames. They contributed significantly to the advancement of neurological surgery, allowing localization of known functional centers as well as lesions of the brain in a 3-dimensional system.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.295
Teacher spread0.267 · 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