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Additional file 1 of A novel model of acquired hydrocephalus for evaluation of neurosurgical treatments

2021· other· en· W6977246041 on OpenAlexaff

Bibliographic record

VenueFigshare · 2021
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCerebral aqueductChoroid plexusCisterna magnaShuntingHydrocephalusCisternThird ventricle

Abstract

fetched live from OpenAlex

Additional file 1: Fig.S1. Representative T2-weighted MRI images summarizing brain and ventricular morphology in non-hydrocephalic control (A-F), hydrocephalic just prior to shunting (A’-F’), and post-shunt (A”-F”) piglets. The intact control piglet (case 25) is 41-days old. Pre- and post-shunt images are taken from the same piglet (case 13 at 18-days post-kaolin and 30-days post-shunt, respectively. (A’-F’) In the pre-shunt condition, note the prominent flow void (FV, black profile) within the third ventricle and cerebral aqueduct (A’) indicative of high CSF pulsatility, the black signal indicating kaolin blockage of the basal cisterns (BC in B’), the patent channel connecting the olfactory ventricle (OV) to the lateral ventricle (LV), the choroid plexus (CP) floating in the LV (C’), and the enlargement of all cerebral ventricles, especially the temporal horns (TH) containing the hippocampus (H). The cisterna magna (CM) remains open. (A”-F”) Shunting reduced (but did not eliminate) the flow void in the third ventricle (A”) and decreased the size of all ventricles, but not to normal levels. In this case, the catheter (D”, arrows indicate brain entry and the catheter located along the dorsal wall of the LV with some contact with the choroid plexus. Scale bars = 10 mm for all panels.

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)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.742
Threshold uncertainty score0.368

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.7420.085

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 head0.084
GPT teacher head0.273
Teacher spread0.190 · 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.

Study designSimulation or modeling
Domainnot available
GenreDataset

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

Citations0
Published2021
Admission routes1
Has abstractyes

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