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Record W190547674 · doi:10.15173/m.v1i18.768

Electrical Properties of Pulmonary Lymphatic Smooth Muscle Cells

2012· article· en· W190547674 on OpenAlexaffvenue
Mohammad M. Ahmadzai

Bibliographic record

VenueThe Meducator · 2012
Typearticle
Languageen
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLymphatic systemMedicinePathology

Abstract

fetched live from OpenAlex

Mustafa Ahmadzai is a fourth-year student in the Honours Biology and Pharmacology (Co-op) Program. Mustafa spent this previous summer working at the Firestone Institute for Respiratory Health at St. Joseph’s Hospital in downtown Hamilton. His research focused on the electrophysiological properties of lymphatic smooth muscle cells in the lungs and how they participate in the etiology of asthma and other related pulmonary diseases. The work involved using a technique known as voltage clamping, wherein electrical probes are used to stimulate isolated cells and measure the resulting currents. Like pieces to a puzzle, these electrical responses may give us an insight into how the tissue behaves under complex disease states like asthma and chronic obstructive pulmonary disorder (COPD).

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.243

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 science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.203
Teacher spread0.187 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2012
Admission routes2
Has abstractyes

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