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Record W2021331525 · doi:10.1136/bmj.e8702

Panorama responds to editorial on fMRI for vegetative and minimally conscious states

2013· letter· en· W2021331525 on OpenAlexaffabout
F. Walsh, F. Simmonds, G. Bryan Young, Adrian M. Owen

Bibliographic record

VenueBMJ · 2013
Typeletter
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsWestern University
Fundersnot available
KeywordsPanoramaMinimally conscious statePsychologyState (computer science)ConsciousnessArtNeuroscienceVisual artsComputer science

Abstract

fetched live from OpenAlex

Turner-Stokes and colleagues’ editorial suggests that the Panorama special, The Mind Reader: Unlocking My Voice , did not “clearly distinguish” between patients who live in a vegetative state and those in a minimally conscious state.1 However, the script contained several explanations of these conditions; for example, when referring to one patient undergoing assessment: “Staff here will try to assess whether he is minimally conscious with fragments of understanding or vegetative—with no awareness at all.” Just by viewing this one hour documentary the authors felt able to discern that both the Canadian patients “said to be in a vegetative state” …

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)0.004
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.037
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0370.037
Insufficient payload (model declined to judge)0.0110.010

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 head0.057
GPT teacher head0.379
Teacher spread0.323 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2013
Admission routes2
Has abstractyes

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