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Record W2885183138 · doi:10.20452/pamw.4314

Genetic characterization of macrophages from induced sputum of asthma and COPD patients

2018· article· en· W2885183138 on OpenAlexaboutno aff
Magdalena Paplińska‐Goryca, Krzysztof Goryca, Paulina Misiukiewicz‐Stępień, Patrycja Nejman‐Gryz, Katarzyna Górska, Rafał Krenke

Bibliographic record

VenuePolskie Archiwum Medycyny Wewnętrznej · 2018
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
FundersKom op tegen Kanker
KeywordsSputumAsthmaCOPDImmunologyMedicinePathologyInternal medicineTuberculosis

Abstract

fetched live from OpenAlex

Methods Sputum induction and processing was proceeded as previously described. 8A FITC Pos itive Selection Kit (StemCell, Vancouver, Cana da) was used for sputum macrophage (SM) sep aration.The immunomagnetic separation of cells labeled with CD68 + FITC antibody (Thermo Fish er, Waltham, Massachusetts, United States) was performed according to the manufacturer's in struction.The number of macrophages in isolat ed cells was evaluated on May-Grünwald Giem sa stained smears (Supplementary material, Table S2).The threshold for macrophage dominated material was arbitrarily set as more than 50% of isolated cells.The total RNA was isolated us ing the Tri reagent/chloroform method (Sigma Aldrich, Saint Louis, Missouri, United States).RNA quality was measured with the Agilent 2100 bioanalyzer (Agilent Technologies

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.692

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 head0.009
GPT teacher head0.246
Teacher spread0.237 · 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 designObservational
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

Citations4
Published2018
Admission routes1
Has abstractyes

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