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Assessment of the modified Alberta Stroke Program Early CT Score (mASPECTS).

2018· other· en· W6960940675 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFigshare · 2018
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsStroke (engine)AngiographyEtiologyIschemic strokeCentral nervous system disease

Abstract

fetched live from OpenAlex

<p><b>A</b>. Differences according to recanalization in the T2*-weighted MR angiography (SWAN)-based mASPECTS. In the recanalization (R) and the no recanalization (NR) groups, the initial score was significantly lower than the follow-up score. <b>B</b>. Differences according to recanalization in the diffusion-weighted imaging (DWI)-based mASPECTS. The initial score was significantly higher than the follow-up score in the NR group, but initial and follow-up scores in the R group were not significantly different. When comparing follow-up scores, those in the R group were significantly higher than those in the NR group. <b>C</b>. Differences in the SWAN-based mASPECTS, by stroke etiology. The initial cardioembolic stroke (CE) group score was significantly lower than the initial atherothrombotic stroke (AT) group score. <b>D</b>. Differences by stroke etiology in the DWI-based mASPECTS. The follow-up CE group score was significantly lower than the follow-up AT group score. Mann–Whitney U test: *<i>P</i> < 0.05, **<i>P</i> < 0.01.</p>

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.236
Threshold uncertainty score0.764

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2370.001

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 head0.048
GPT teacher head0.274
Teacher spread0.227 · 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